We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
Data Scientist II, Alexa for Shopping Science UK Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to build industry leading language technology powering Alexa for Shopping, an AI driven search and shopping assistant that helps customers at every step of their shopping journey. Key Job Responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems-especially those based on large language models, information retrieval, recommender systems, and knowledge graphs-to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on customers' experiences and collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products, and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Alexa for Shopping Science team, based in London, works alongside 150 engineers, designers, and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the AfS AI-from making it agentic and enabling customers to set price alerts or automatically purchase items at the right price, to understanding multimodal user queries and generating answers that combine text, image, audio, and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalized shopping guidance. We utilize and advance state of the art techniques in NLP, generative AI, information retrieval, machine/deep learning, and data mining. We validate our work by actively participating in internal and external scientific communities. Basic Qualifications Master's degree or above in Math, Statistics, Computer Science, or related science field Experience in a ML or data scientist role with a large technology company Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, or MATLAB) Experience effectively communicating complex concepts through written and verbal communication Preferred Qualifications Experience in defining and creating benchmarks for assessing GenAI model performance Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2 Experience working on multi team, cross disciplinary projects Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
23/06/2026
Full time
Data Scientist II, Alexa for Shopping Science UK Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to build industry leading language technology powering Alexa for Shopping, an AI driven search and shopping assistant that helps customers at every step of their shopping journey. Key Job Responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems-especially those based on large language models, information retrieval, recommender systems, and knowledge graphs-to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on customers' experiences and collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products, and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Alexa for Shopping Science team, based in London, works alongside 150 engineers, designers, and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the AfS AI-from making it agentic and enabling customers to set price alerts or automatically purchase items at the right price, to understanding multimodal user queries and generating answers that combine text, image, audio, and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalized shopping guidance. We utilize and advance state of the art techniques in NLP, generative AI, information retrieval, machine/deep learning, and data mining. We validate our work by actively participating in internal and external scientific communities. Basic Qualifications Master's degree or above in Math, Statistics, Computer Science, or related science field Experience in a ML or data scientist role with a large technology company Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, or MATLAB) Experience effectively communicating complex concepts through written and verbal communication Preferred Qualifications Experience in defining and creating benchmarks for assessing GenAI model performance Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2 Experience working on multi team, cross disciplinary projects Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We're looking for a talented Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's world class science capabilities. It's an opportunity to work with a market leading business to explore new opportunities for us and influence global retailers and suppliers. Joining our team, you'll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders and will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focussed across insight automation and product assortment, with applications of science including identifying new and growing product needs, optimising the mix of products, predicting the impact of changes, product attribute generation and applications of generative AI for product support and insights. What You'll Be Doing Create new science based solutions that can be captured as science modules and applied across clients, with support from senior team members. Pick up new machine learning approaches, such as regularised regression, clustering or tree based ensembles, graph based approaches, natural language processing and neural network techniques and apply them on client data. Perform exploratory data analysis to characterise and visualise datasets Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules. Help identify new opportunities within the Data Science space for future dunnhumby solutions. Implement advice from colleagues to resolve challenges. Follow Quality Assurance processes, ways of working and meet coding standards. Ensure smooth running of your projects, working with senior team members for direction. Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication. Who You'll Get To Work With Within dunnhumby you'll primarily work with Applied and Research Data Scientist teams Data Science Engineering teams Product and Client teams where required What You'll Need Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularised regression, clustering or tree based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL Experience with or ability to quickly learn open source software including machine learning packages, such as Pandas and scikit learn, along with data visualisation technologies. A willingness to present your work to both technical and non technical audience and to contribute to the wider data science community. A Plus If You Also Have PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience in retail sector What You Can Expect From Us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting edge technology that reflects our global ambition. But with a nimble, small business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
23/06/2026
Full time
hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We're looking for a talented Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's world class science capabilities. It's an opportunity to work with a market leading business to explore new opportunities for us and influence global retailers and suppliers. Joining our team, you'll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders and will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focussed across insight automation and product assortment, with applications of science including identifying new and growing product needs, optimising the mix of products, predicting the impact of changes, product attribute generation and applications of generative AI for product support and insights. What You'll Be Doing Create new science based solutions that can be captured as science modules and applied across clients, with support from senior team members. Pick up new machine learning approaches, such as regularised regression, clustering or tree based ensembles, graph based approaches, natural language processing and neural network techniques and apply them on client data. Perform exploratory data analysis to characterise and visualise datasets Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules. Help identify new opportunities within the Data Science space for future dunnhumby solutions. Implement advice from colleagues to resolve challenges. Follow Quality Assurance processes, ways of working and meet coding standards. Ensure smooth running of your projects, working with senior team members for direction. Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication. Who You'll Get To Work With Within dunnhumby you'll primarily work with Applied and Research Data Scientist teams Data Science Engineering teams Product and Client teams where required What You'll Need Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularised regression, clustering or tree based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL Experience with or ability to quickly learn open source software including machine learning packages, such as Pandas and scikit learn, along with data visualisation technologies. A willingness to present your work to both technical and non technical audience and to contribute to the wider data science community. A Plus If You Also Have PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience in retail sector What You Can Expect From Us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting edge technology that reflects our global ambition. But with a nimble, small business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities Analyze, model, and optimize AI technologies that will shape the future of shopping experiences. Measure and improve multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, tailored to customer needs. Handle Amazon scale use cases with significant impact on our customers' experiences. Collaborate with scientists, engineers, and product partners locally and abroad. Design experiments, analyze results, and launch new features, products and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside approximately 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience in a ML or data scientist role with a large technology company Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience effectively communicating complex concepts through written and verbal communication Master's degree or above in Math, Statistics, Computer Science, or related science field Preferred Qualifications Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience in defining and creating benchmarks for assessing GenAI model performance Experience working on multi team, cross disciplinary projects Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
23/06/2026
Full time
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities Analyze, model, and optimize AI technologies that will shape the future of shopping experiences. Measure and improve multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, tailored to customer needs. Handle Amazon scale use cases with significant impact on our customers' experiences. Collaborate with scientists, engineers, and product partners locally and abroad. Design experiments, analyze results, and launch new features, products and systems. A Day in the Life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside approximately 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience in a ML or data scientist role with a large technology company Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience effectively communicating complex concepts through written and verbal communication Master's degree or above in Math, Statistics, Computer Science, or related science field Preferred Qualifications Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience in defining and creating benchmarks for assessing GenAI model performance Experience working on multi team, cross disciplinary projects Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Job ID: Amazon Development Centre (London) Limited Rufus is a generative AI-powered shopping assistant in the Amazon Shopping app designed to help answer a variety of shopping-related questions. Rufus makes it easy for customers to find and discover the best products to meet their needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more. We are searching for pioneers who are passionate about technology, innovation, and customer experience to join the Rufus team. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you. As a software developer in this role, you will have the opportunity to design and lead the development of a unique and engaging feature for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will play an active role in building quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, you'll learn a lot, have fun and make a positive impact on millions of people. We are looking for a talented Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to be proficient technically, encourage software development best practices, and iterate quickly. Key job responsibilities Work with product management and cross functional teams to implement and improve technical solutions for desired user experiences. Work with our design team to define and implement the best user experience. Manage directly assigned tasks and on call duties. Full vertical end to end ownership of the feature. Actively participate in hiring and mentoring the very best. Encourage and support knowledge sharing within team and external groups. Communicate clearly both verbally and in writing, within team and external groups. Basic Qualifications Experience in professional, non internship software development Experience programming with at least one modern language such as Java, C++, or C# including object oriented design Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Bachelor's degree in computer science or equivalent Preferred Qualifications Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Experience building complex software systems that have been successfully delivered to customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
23/06/2026
Full time
Job ID: Amazon Development Centre (London) Limited Rufus is a generative AI-powered shopping assistant in the Amazon Shopping app designed to help answer a variety of shopping-related questions. Rufus makes it easy for customers to find and discover the best products to meet their needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more. We are searching for pioneers who are passionate about technology, innovation, and customer experience to join the Rufus team. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you. As a software developer in this role, you will have the opportunity to design and lead the development of a unique and engaging feature for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will play an active role in building quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, you'll learn a lot, have fun and make a positive impact on millions of people. We are looking for a talented Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to be proficient technically, encourage software development best practices, and iterate quickly. Key job responsibilities Work with product management and cross functional teams to implement and improve technical solutions for desired user experiences. Work with our design team to define and implement the best user experience. Manage directly assigned tasks and on call duties. Full vertical end to end ownership of the feature. Actively participate in hiring and mentoring the very best. Encourage and support knowledge sharing within team and external groups. Communicate clearly both verbally and in writing, within team and external groups. Basic Qualifications Experience in professional, non internship software development Experience programming with at least one modern language such as Java, C++, or C# including object oriented design Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Bachelor's degree in computer science or equivalent Preferred Qualifications Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Experience building complex software systems that have been successfully delivered to customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Software Engineering Manager, AI PlatformApplylocations: London: NLD Amsterdam (Radarweg): UK-Oxford (Nielsen House): Netherlandstime type: Full timeposted on: Posted Todayjob requisition id: R113409 Job Title: Software Engineering Manager, AI Platform How have you helped a team deliver complex technical work while balancing quality, speed, and reliability? How do you support engineers in their growth and create an inclusive, collaborative team culture? Location : Hybrid role, UK or Amsterdam based About the Team The AI Platform team builds shared AI capabilities used across multiple products. Our goal is to help teams safely and effectively integrate generative AI without needing to build core systems from scratch.We create reusable services, tools, and platform solutions that support scalability, security, and reliability, while enabling teams to move efficiently. About the Role We are looking for a Software Engineering Manager to support engineering teams within the AI Platform. You will help guide delivery, support team growth, and ensure alignment across a complex and evolving environment.This role combines people leadership, delivery coordination, and technical oversight. While not focused on day-to-day coding, you will bring technical judgment, contribute to design discussions, and offer support when needed. Key Responsibilities: Team Leadership & Delivery Support one or more engineering teams with clear goals and priorities Partner with technical leaders to deliver reliable and high-quality outcomes Monitor progress and help address risks, blockers, and dependenciesPlanning & Alignment Collaborate with product, engineering, and stakeholders to set priorities Balance immediate delivery needs with long-term sustainability Encourage alignment across teams and shared platform goalsTechnical Oversight & Strategy Partner with Technical Leads and senior stakeholders to shape engineering strategy and platform direction Support strong technical standards through design and code reviews Help teams balance speed, quality, reliability and delivery Provide hands-on support during critical periods when neededOperational Excellence Promote practices in testing, delivery pipelines, and system reliability Track and improve key indicators such as delivery, stability, and maintainability Drive continuous improvements in engineering processes, developer experience, and platform reliability.Communication & Collaboration Encourage open and clear communication across the wider team Share progress, challenges, and trade-offs transparently Participate in planning, roadmap discussions, and cross-team coordination Influence decisions beyond the immediate team through collaboration and engineering leadership.People Management & Development Support inclusive hiring and onboarding practices Support career development - Provide coaching, feedback, and growth opportunities Foster a collaborative, respectful, and supportive team environment focused on continuous improvement Partner with technical leaders to maintain strong engineering practices Experience working in Agile or Kanban teams, collaborating across functions Skills & Experience: Deep experience in software engineering and team leadership or mentorship within engineering Ability to manage and work in evolving technical environments and manage priorities Knowledge of backend systems, distributed architectures, or cloud platforms Experience collaborating across teams and with technical stakeholders Ability to review code and provide constructive feedback (Python is a plus) Strong communication and organisational skills Nice to Have Experience with AI/LLM tools or modern backend frameworks (e.g., LangChain, LangGraph) and backend service frameworks (e.g., FastAPI) Familiarity with cloud-native technologies (e.g., Kubernetes) Experience supporting platforms used by multiple, downstream consumer teams Experience managing teams working on internal developer tools or shared platforms If you are interested in the role, please apply with a cover letter and CV. Work in a way that works for you We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working in a hybrid way from both the office and at home Working flexible hours - flexing the times you work in the day Working with us We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it. Working for you At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity and shared parental leave Access to emergency care for both the elderly and children RE CARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts via Perks at Work About Us A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.
23/06/2026
Full time
Software Engineering Manager, AI PlatformApplylocations: London: NLD Amsterdam (Radarweg): UK-Oxford (Nielsen House): Netherlandstime type: Full timeposted on: Posted Todayjob requisition id: R113409 Job Title: Software Engineering Manager, AI Platform How have you helped a team deliver complex technical work while balancing quality, speed, and reliability? How do you support engineers in their growth and create an inclusive, collaborative team culture? Location : Hybrid role, UK or Amsterdam based About the Team The AI Platform team builds shared AI capabilities used across multiple products. Our goal is to help teams safely and effectively integrate generative AI without needing to build core systems from scratch.We create reusable services, tools, and platform solutions that support scalability, security, and reliability, while enabling teams to move efficiently. About the Role We are looking for a Software Engineering Manager to support engineering teams within the AI Platform. You will help guide delivery, support team growth, and ensure alignment across a complex and evolving environment.This role combines people leadership, delivery coordination, and technical oversight. While not focused on day-to-day coding, you will bring technical judgment, contribute to design discussions, and offer support when needed. Key Responsibilities: Team Leadership & Delivery Support one or more engineering teams with clear goals and priorities Partner with technical leaders to deliver reliable and high-quality outcomes Monitor progress and help address risks, blockers, and dependenciesPlanning & Alignment Collaborate with product, engineering, and stakeholders to set priorities Balance immediate delivery needs with long-term sustainability Encourage alignment across teams and shared platform goalsTechnical Oversight & Strategy Partner with Technical Leads and senior stakeholders to shape engineering strategy and platform direction Support strong technical standards through design and code reviews Help teams balance speed, quality, reliability and delivery Provide hands-on support during critical periods when neededOperational Excellence Promote practices in testing, delivery pipelines, and system reliability Track and improve key indicators such as delivery, stability, and maintainability Drive continuous improvements in engineering processes, developer experience, and platform reliability.Communication & Collaboration Encourage open and clear communication across the wider team Share progress, challenges, and trade-offs transparently Participate in planning, roadmap discussions, and cross-team coordination Influence decisions beyond the immediate team through collaboration and engineering leadership.People Management & Development Support inclusive hiring and onboarding practices Support career development - Provide coaching, feedback, and growth opportunities Foster a collaborative, respectful, and supportive team environment focused on continuous improvement Partner with technical leaders to maintain strong engineering practices Experience working in Agile or Kanban teams, collaborating across functions Skills & Experience: Deep experience in software engineering and team leadership or mentorship within engineering Ability to manage and work in evolving technical environments and manage priorities Knowledge of backend systems, distributed architectures, or cloud platforms Experience collaborating across teams and with technical stakeholders Ability to review code and provide constructive feedback (Python is a plus) Strong communication and organisational skills Nice to Have Experience with AI/LLM tools or modern backend frameworks (e.g., LangChain, LangGraph) and backend service frameworks (e.g., FastAPI) Familiarity with cloud-native technologies (e.g., Kubernetes) Experience supporting platforms used by multiple, downstream consumer teams Experience managing teams working on internal developer tools or shared platforms If you are interested in the role, please apply with a cover letter and CV. Work in a way that works for you We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working in a hybrid way from both the office and at home Working flexible hours - flexing the times you work in the day Working with us We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it. Working for you At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity and shared parental leave Access to emergency care for both the elderly and children RE CARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts via Perks at Work About Us A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.
Summary Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Media Services. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms. Description We are looking for a Machine Learning Engineer focused on Evaluation & Insights for the Human-Centered AI team. In this role, you will bridge the gap between human perception and algorithmic performance, helping evaluate and optimize Foundation Models and generative AI systems. You will architect robust evaluation frameworks, design scalable MLOps pipelines for model assessment, and translate qualitative failure modes into programmatic guardrails and training signals (e.g., SFT, RLHF/DPO). This role blends deep ML engineering expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross functionally with Software Engineering, Product, Research and Responsible AI teams at Apple to ensure that our AI experiences are reliable, safe, and aligned with human expectations. Responsibilities Lead Rigorous Model Evaluations: Architect and execute comprehensive evaluation suites for LLMs and multimodal models, identifying edge cases in multi step reasoning, factuality, adversarial robustness, safety, and alignment. Advanced Scoring Frameworks: Develop deterministic, heuristic, and LLM assisted evaluation frameworks (e.g., LLM as a judge, reward modeling) to quantify human perceived quality metrics (e.g., helpfulness, hallucination rates). Actionable Signal Extraction: Translate qualitative failure modes into quantifiable loss patterns, programmatic guardrails, and actionable data mixture adjustments for model training and inference. Improve Performance: Partner with engineering teams to refine model behavior, leveraging evaluation telemetry to inform prompt engineering, Retrieval Augmented Generation (RAG) strategies, and model fine tuning. Latent Pattern Recognition: Apply advanced ML techniques (e.g., embedding based clustering, representation learning, perturbation analysis) to systematically map error taxonomies and latent failure manifolds in model outputs. MLOps & Automation: Develop robust MLOps workflows to codify evaluation metrics, automate regression testing across model checkpoints, and integrate human centric assessments into ML CI/CD pipelines. Distributed Evaluation Pipelines: Architect scalable, distributed inference and processing pipelines (e.g., Ray, vLLM) for high throughput model evaluation, automated annotation, and output analysis at scale. Human Centric Metrics: Define quantitative evaluation frameworks that capture nuanced human factors, including trust calibration, conversational state tracking, and interpretability. Auto Evaluator Systems: Build automated evaluation pipelines utilizing LLMs to assess outputs at scale, optimizing for high correlation with human baseline annotations. Cross Functional Partnership: Collaborate with ML researchers, software developers, and product managers across Apple to translate product requirements into scalable, reliable, and efficient model evaluation infrastructure. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Cognitive Science, or a related technical field, with relevant industry experience in ML Engineering or Applied Research. Advanced proficiency in Python and modern deep learning ecosystems (PyTorch, JAX, Hugging Face). Strong ability to interpret unstructured model outputs (text, transcripts, embedding spaces) and synthesize qualitative findings into actionable engineering guidance and training objectives. Hands on experience developing, fine tuning, or evaluating LLMs, multimodal models, and NLP systems. Deep familiarity with AI quality metrics, hallucination detection techniques (e.g., SelfCheckGPT), model alignment (RLHF/DPO), and LLM as a judge frameworks (e.g., G Eval, DeepEval). Preferred Qualifications Knowledge of human factors, HCI, or cognitive science methodologies as applied to AI system design. Proven experience building scalable ML inference pipelines, model evaluation workflows, and structured rating frameworks for large scale AI systems. Experience building internal tools or automated pipelines for ML workflows using tools like MLflow, Weights & Biases, or similar platforms. Strong familiarity with advanced prompt engineering, RAG architectures (vector databases, semantic search), and Fine Tuning. Equal Employment Opportunity & Accessibility At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
22/06/2026
Full time
Summary Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Media Services. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms. Description We are looking for a Machine Learning Engineer focused on Evaluation & Insights for the Human-Centered AI team. In this role, you will bridge the gap between human perception and algorithmic performance, helping evaluate and optimize Foundation Models and generative AI systems. You will architect robust evaluation frameworks, design scalable MLOps pipelines for model assessment, and translate qualitative failure modes into programmatic guardrails and training signals (e.g., SFT, RLHF/DPO). This role blends deep ML engineering expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross functionally with Software Engineering, Product, Research and Responsible AI teams at Apple to ensure that our AI experiences are reliable, safe, and aligned with human expectations. Responsibilities Lead Rigorous Model Evaluations: Architect and execute comprehensive evaluation suites for LLMs and multimodal models, identifying edge cases in multi step reasoning, factuality, adversarial robustness, safety, and alignment. Advanced Scoring Frameworks: Develop deterministic, heuristic, and LLM assisted evaluation frameworks (e.g., LLM as a judge, reward modeling) to quantify human perceived quality metrics (e.g., helpfulness, hallucination rates). Actionable Signal Extraction: Translate qualitative failure modes into quantifiable loss patterns, programmatic guardrails, and actionable data mixture adjustments for model training and inference. Improve Performance: Partner with engineering teams to refine model behavior, leveraging evaluation telemetry to inform prompt engineering, Retrieval Augmented Generation (RAG) strategies, and model fine tuning. Latent Pattern Recognition: Apply advanced ML techniques (e.g., embedding based clustering, representation learning, perturbation analysis) to systematically map error taxonomies and latent failure manifolds in model outputs. MLOps & Automation: Develop robust MLOps workflows to codify evaluation metrics, automate regression testing across model checkpoints, and integrate human centric assessments into ML CI/CD pipelines. Distributed Evaluation Pipelines: Architect scalable, distributed inference and processing pipelines (e.g., Ray, vLLM) for high throughput model evaluation, automated annotation, and output analysis at scale. Human Centric Metrics: Define quantitative evaluation frameworks that capture nuanced human factors, including trust calibration, conversational state tracking, and interpretability. Auto Evaluator Systems: Build automated evaluation pipelines utilizing LLMs to assess outputs at scale, optimizing for high correlation with human baseline annotations. Cross Functional Partnership: Collaborate with ML researchers, software developers, and product managers across Apple to translate product requirements into scalable, reliable, and efficient model evaluation infrastructure. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Cognitive Science, or a related technical field, with relevant industry experience in ML Engineering or Applied Research. Advanced proficiency in Python and modern deep learning ecosystems (PyTorch, JAX, Hugging Face). Strong ability to interpret unstructured model outputs (text, transcripts, embedding spaces) and synthesize qualitative findings into actionable engineering guidance and training objectives. Hands on experience developing, fine tuning, or evaluating LLMs, multimodal models, and NLP systems. Deep familiarity with AI quality metrics, hallucination detection techniques (e.g., SelfCheckGPT), model alignment (RLHF/DPO), and LLM as a judge frameworks (e.g., G Eval, DeepEval). Preferred Qualifications Knowledge of human factors, HCI, or cognitive science methodologies as applied to AI system design. Proven experience building scalable ML inference pipelines, model evaluation workflows, and structured rating frameworks for large scale AI systems. Experience building internal tools or automated pipelines for ML workflows using tools like MLflow, Weights & Biases, or similar platforms. Strong familiarity with advanced prompt engineering, RAG architectures (vector databases, semantic search), and Fine Tuning. Equal Employment Opportunity & Accessibility At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will work on core enterprise platform systems, focusing on backend services that ensure Synthesia is secure, reliable, and scalable for our largest customers. You will contribute to distributed backend systems and shared platform services, and be responsible for the safe and reliable operation of these systems in production. You will have ownership of projects that span months and multiple teams, requiring you to break down complex, ambiguous problems into clear steps that can be delivered and validated iteratively. You will work closely with product, security, legal, and infrastructure partners, and will be expected to translate business and regulatory requirements into scalable technical solutions. You will evaluate your work through system health and reliability metrics, leveraging observability and monitoring to ensure systems meet performance, reliability, and compliance expectations. You will consider the long-term direction of the platform, ensuring that the systems we build today can support future scale, enterprise requirements, and evolving regulatory needs. What we're looking for At least seven (7) years of experience as a software engineer, with experience operating at a senior or staff level. You have experience building and operating backend systems at scale, ideally within platform or enterprise-focused teams. Strong expertise in backend development and system design. Experience across the stack is a plus, but this role is primarily backend-focused. Relevant engineering experience for teams building enterprise-grade systems; this may include areas such as security, compliance, data handling, access control, multi-tenant systems, or platform services. Experience owning systems in production, including observability, incident response, and reliability improvements. Ability to work across teams and functions, aligning with stakeholders and driving technical initiatives end-to-end. Strong alignment with building reliable, scalable systems that support long-term product and business goals. Previous experience leading projects or mentoring other engineers is a plus. Why join us We're living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here's why, Our culture At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We're trusted by leading brands such as Heineken, Zoom, Xerox, McDonald's and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we've been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security. The hiring process 30-40min call with our Technical Recruiter 45min call with an Engineering Manager about your past projects 90min Live Coding interview, a collaboration exercise with our Engineer (not Leetcode style) 60min System Design, technical discussion usually about a real problem we had in production 45min call with leadership, focus on examples of collaboration, growth and going through details of your future team You can find more details on what to expect and how to prepare HERE. The process does not need to take long - we can be done in seven working days. Other important info Our preference is for this role to be based either in-office or remote in the following locations: UK, Germany, Switzerland or Ireland. We may also be able to support remote workers in other locations across Europe subject to compliance and right to work checks. This is full-time employment only - no contractors possible - usually through OysterHR or a local entity. Everyone at Synthesia gets 25 days of leave + local holidays.
22/06/2026
Full time
Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will work on core enterprise platform systems, focusing on backend services that ensure Synthesia is secure, reliable, and scalable for our largest customers. You will contribute to distributed backend systems and shared platform services, and be responsible for the safe and reliable operation of these systems in production. You will have ownership of projects that span months and multiple teams, requiring you to break down complex, ambiguous problems into clear steps that can be delivered and validated iteratively. You will work closely with product, security, legal, and infrastructure partners, and will be expected to translate business and regulatory requirements into scalable technical solutions. You will evaluate your work through system health and reliability metrics, leveraging observability and monitoring to ensure systems meet performance, reliability, and compliance expectations. You will consider the long-term direction of the platform, ensuring that the systems we build today can support future scale, enterprise requirements, and evolving regulatory needs. What we're looking for At least seven (7) years of experience as a software engineer, with experience operating at a senior or staff level. You have experience building and operating backend systems at scale, ideally within platform or enterprise-focused teams. Strong expertise in backend development and system design. Experience across the stack is a plus, but this role is primarily backend-focused. Relevant engineering experience for teams building enterprise-grade systems; this may include areas such as security, compliance, data handling, access control, multi-tenant systems, or platform services. Experience owning systems in production, including observability, incident response, and reliability improvements. Ability to work across teams and functions, aligning with stakeholders and driving technical initiatives end-to-end. Strong alignment with building reliable, scalable systems that support long-term product and business goals. Previous experience leading projects or mentoring other engineers is a plus. Why join us We're living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here's why, Our culture At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We're trusted by leading brands such as Heineken, Zoom, Xerox, McDonald's and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we've been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security. The hiring process 30-40min call with our Technical Recruiter 45min call with an Engineering Manager about your past projects 90min Live Coding interview, a collaboration exercise with our Engineer (not Leetcode style) 60min System Design, technical discussion usually about a real problem we had in production 45min call with leadership, focus on examples of collaboration, growth and going through details of your future team You can find more details on what to expect and how to prepare HERE. The process does not need to take long - we can be done in seven working days. Other important info Our preference is for this role to be based either in-office or remote in the following locations: UK, Germany, Switzerland or Ireland. We may also be able to support remote workers in other locations across Europe subject to compliance and right to work checks. This is full-time employment only - no contractors possible - usually through OysterHR or a local entity. Everyone at Synthesia gets 25 days of leave + local holidays.
Senior AI Engineer - Generative AI & Search - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as: Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability. You'll have the opportunity to: Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience. Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices. Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement. Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. You'll need to have: Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs. We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
22/06/2026
Full time
Senior AI Engineer - Generative AI & Search - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as: Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability. You'll have the opportunity to: Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience. Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices. Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement. Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. You'll need to have: Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs. We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
22/06/2026
Full time
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities As a Data Scientist, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning, statistical modeling, data analysis tools and techniques, and parameters that affect their performance. Experience in a machine learning or data scientist role with a large technology company. Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, or Matlab). Experience effectively communicating complex concepts through written and verbal communication. Master's degree or above in Mathematics, Statistics, Computer Science, or related scientific field. Preferred Qualifications Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2. Experience in defining and creating benchmarks for assessing generative AI model performance. Experience working on multi team, cross disciplinary projects. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit to find more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
21/06/2026
Full time
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry leading language technology powering Rufus, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key Job Responsibilities As a Data Scientist, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the Team The Rufus Features Science team, based in London, works alongside 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning, statistical modeling, data analysis tools and techniques, and parameters that affect their performance. Experience in a machine learning or data scientist role with a large technology company. Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, or Matlab). Experience effectively communicating complex concepts through written and verbal communication. Master's degree or above in Mathematics, Statistics, Computer Science, or related scientific field. Preferred Qualifications Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2. Experience in defining and creating benchmarks for assessing generative AI model performance. Experience working on multi team, cross disciplinary projects. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit to find more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Join our HR Technology team as a Senior ServiceNow Developer and play a key role in transforming the colleague experience across Barclays. In this role, you'll design and deliver high impact ServiceNow HR Service Delivery solutions, working closely with HR and Technology stakeholders to shape architecture, drive agile delivery, and integrate with platforms such as Workday and the Microsoft ecosystem. Combining hands on development with technical leadership, you'll help set standards, improve performance and security, and deliver innovative solutions at scale, making this an exciting opportunity for someone passionate about modern HR platforms and meaningful enterprise transformation. To be successful as a Senior ServiceNow Developer - 12 Months Full Time Contract, you should have experience with: Architecting and implementing ServiceNow platform and HR Service Delivery solutions at enterprise scale. Implementing NowAssist for Generative and Agentic AI use cases. Supporting infrastructure such as Workday, Entra, Microsoft Graph, Microsoft 365 (Teams, Copilot) at a working knowledge level. Some other highly valued skills may include: Experience designing conversational interfaces with Copilot. Experience working with zero copy data architectures. Experience designing and implementing end to end use cases with Workday. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in either our Glasgow or Northampton office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
21/06/2026
Full time
Join our HR Technology team as a Senior ServiceNow Developer and play a key role in transforming the colleague experience across Barclays. In this role, you'll design and deliver high impact ServiceNow HR Service Delivery solutions, working closely with HR and Technology stakeholders to shape architecture, drive agile delivery, and integrate with platforms such as Workday and the Microsoft ecosystem. Combining hands on development with technical leadership, you'll help set standards, improve performance and security, and deliver innovative solutions at scale, making this an exciting opportunity for someone passionate about modern HR platforms and meaningful enterprise transformation. To be successful as a Senior ServiceNow Developer - 12 Months Full Time Contract, you should have experience with: Architecting and implementing ServiceNow platform and HR Service Delivery solutions at enterprise scale. Implementing NowAssist for Generative and Agentic AI use cases. Supporting infrastructure such as Workday, Entra, Microsoft Graph, Microsoft 365 (Teams, Copilot) at a working knowledge level. Some other highly valued skills may include: Experience designing conversational interfaces with Copilot. Experience working with zero copy data architectures. Experience designing and implementing end to end use cases with Workday. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in either our Glasgow or Northampton office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Overview Join our HR Technology team as a Senior ServiceNow Developer and play a key role in transforming the colleague experience across Barclays. In this role, you'll design and deliver high impact ServiceNow HR Service Delivery solutions, working closely with HR and Technology stakeholders to shape architecture, drive agile delivery, and integrate with platforms such as Workday and the Microsoft ecosystem. Combining hands on development with technical leadership, you'll help set standards, improve performance and security, and deliver innovative solutions at scale, making this an exciting opportunity for someone passionate about modern HR platforms and meaningful enterprise transformation. To be successful as a Senior ServiceNow Developer, you should have experience with: Architecting and implementing ServiceNow platform and HR Service Delivery solutions at enterprise scale. Implementing NowAssist for Generative and Agentic AI use cases. Supporting infrastructure such as Workday, Entra, Microsoft Graph, Microsoft 365 (Teams, Copilot) at a working knowledge level. Some other highly valued skills may include: Experience designing conversational interfaces with Copilot. Experience working with zero copy data architectures. Experience designing and implementing end to end use cases with Workday. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in either our Glasgow or Northampton office Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
21/06/2026
Full time
Overview Join our HR Technology team as a Senior ServiceNow Developer and play a key role in transforming the colleague experience across Barclays. In this role, you'll design and deliver high impact ServiceNow HR Service Delivery solutions, working closely with HR and Technology stakeholders to shape architecture, drive agile delivery, and integrate with platforms such as Workday and the Microsoft ecosystem. Combining hands on development with technical leadership, you'll help set standards, improve performance and security, and deliver innovative solutions at scale, making this an exciting opportunity for someone passionate about modern HR platforms and meaningful enterprise transformation. To be successful as a Senior ServiceNow Developer, you should have experience with: Architecting and implementing ServiceNow platform and HR Service Delivery solutions at enterprise scale. Implementing NowAssist for Generative and Agentic AI use cases. Supporting infrastructure such as Workday, Entra, Microsoft Graph, Microsoft 365 (Teams, Copilot) at a working knowledge level. Some other highly valued skills may include: Experience designing conversational interfaces with Copilot. Experience working with zero copy data architectures. Experience designing and implementing end to end use cases with Workday. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in either our Glasgow or Northampton office Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job Description:3M Health Care is now SolventumAt Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.The Impact You'll Make in this RoleAs a AI Architect with deep expertise in Machine learning, Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact AI Platform development for HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create platform/solutions that are explainable, reliable, and transformative for healthcare operations.This role is focused on building scalable AI platforms and frameworks from scratch and is not a data science or model experimentation role.Key ResponsibilitiesHealthcare-Focused AI DevelopmentArchitect, design and develop AI platform to support large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.Frameworks which can support AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.Technical LeadershipServe as the primary technical authority on any AI Platform related development within product teams.Mentor junior AI designers and engineers through code reviews, research guidance, and technical workshops.Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.Operational & Compliance ExcellenceImplement rigorous model evaluation frameworks for accuracy, robustness, and fairness.Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).Partner with engineering to move research prototypes into production environments.Your Skills and ExpertiseTo set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:Master's in Computer Science, AI, Machine Learning, or related field AND 10+ years of experience in developing AI/ML platform on Cloud & on-Prem.Or15+ software engineering background in AI, Machine Learning, or related field with 10+ years of experience in building AI/ML platforms.Proficiency in Python, R, and modern ML libraries.Experience with GenAI, LLMs, and transformer architectures.Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).Hands-on experience with autonomous AI agents and reasoning systems.Strong track record applying AI to healthcare or life sciences use cases.Strong background with cloud platforms ,On Prem and MLOps/LLMOps practices.Strong background in Kubernetes , Terraforms etc.,Proven ability in Observability, Logging and Scalable systemsAdditional qualifications that could help you succeed even further in this role include:Knowledge graph db, No SQL/SQL DBProven ability to take Architecture/Design from concept to production.Work location:UKSupporting Your Well-beingSolventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.Diversity & Inclusion( ) We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, gender, sexual orientation, age, civil status, disability, family status, or membership of the travelling community.Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.Solventum Global Terms of Use and Privacy StatementCarefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with theterms.
21/06/2026
Full time
Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job Description:3M Health Care is now SolventumAt Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.The Impact You'll Make in this RoleAs a AI Architect with deep expertise in Machine learning, Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact AI Platform development for HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create platform/solutions that are explainable, reliable, and transformative for healthcare operations.This role is focused on building scalable AI platforms and frameworks from scratch and is not a data science or model experimentation role.Key ResponsibilitiesHealthcare-Focused AI DevelopmentArchitect, design and develop AI platform to support large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.Frameworks which can support AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.Technical LeadershipServe as the primary technical authority on any AI Platform related development within product teams.Mentor junior AI designers and engineers through code reviews, research guidance, and technical workshops.Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.Operational & Compliance ExcellenceImplement rigorous model evaluation frameworks for accuracy, robustness, and fairness.Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).Partner with engineering to move research prototypes into production environments.Your Skills and ExpertiseTo set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:Master's in Computer Science, AI, Machine Learning, or related field AND 10+ years of experience in developing AI/ML platform on Cloud & on-Prem.Or15+ software engineering background in AI, Machine Learning, or related field with 10+ years of experience in building AI/ML platforms.Proficiency in Python, R, and modern ML libraries.Experience with GenAI, LLMs, and transformer architectures.Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).Hands-on experience with autonomous AI agents and reasoning systems.Strong track record applying AI to healthcare or life sciences use cases.Strong background with cloud platforms ,On Prem and MLOps/LLMOps practices.Strong background in Kubernetes , Terraforms etc.,Proven ability in Observability, Logging and Scalable systemsAdditional qualifications that could help you succeed even further in this role include:Knowledge graph db, No SQL/SQL DBProven ability to take Architecture/Design from concept to production.Work location:UKSupporting Your Well-beingSolventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.Diversity & Inclusion( ) We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, gender, sexual orientation, age, civil status, disability, family status, or membership of the travelling community.Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.Solventum Global Terms of Use and Privacy StatementCarefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking here. 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Overview Alchemab has developed a highly differentiated platform which enables the identification of novel drug targets and therapeutics by analysis of patient antibody repertoires. The platform uses well-defined patient samples, deep B cell sequencing, and computational analysis to identify convergent protective antibody responses among individuals that are susceptible but resilient to specific diseases. Alchemab is building a broad pipeline of protective therapeutics for hard-to-treat diseases, with an initial focus on neurodegenerative conditions and oncology. The highly specialized patient samples that power Alchemab's platform are made available through valued partnerships and collaborations with patient representative groups, biobanks, industry partners, and academic institutions. At the platform's core is one of the largest and most clinically meaningful antibody datasets in existence: half a billion antibody sequences drawn from thousands of patients and growing. The depth and breadth of proprietary data has enabled Alchemab to develop AntiBERTa and FAbCon, two of the leading foundation models for antibody sequences. These assets - unique data at scale, combined with state-of-the-art models - create the foundation for Alchemab's drug discovery pipeline. The Role Reporting in to the ML Director, this individual contributor role has real influence over technical direction and will operate and thrive at the interface of research and impact. The Principal Deep Learning (DP) Researcher will develop deep learning models and apply them across Alchemab's antibody discovery pipeline - from representation learning on B-cell receptor repertoires and antigen binding prediction, to generative models for sequence optimisation. You will work closely with software developers, computational biologists, experimental scientists, and antibody engineers to turn Alchemab's high-dimensional data into actionable model outputs and testable hypotheses, while helping set the ML strategy and supporting the development of colleagues across the organisation. Ultimately, the purpose of this role is to deliver innovative, production ready deep learning solutions that materially advance Alchemab's antibody discovery and optimisation platform. Responsibilities Develops deep learning architectures for antibody sequence understanding, generation, and binding prediction Partners with the Director of ML to define and deliver Alchemab's ML strategy Collaborates with software and DevOps teams to democratize ML capabilities Communicates conclusions (not just observations) to both domain experts and non-experts Designs rigorous benchmarks to evaluate model performance against experimental ground truth Contributes to patent filings and publications arising from novel methodologies Stays current with the ML literature; identify and evaluate approaches worth integrating Ways of Working Contributes to a culture of continuous learning through knowledge sharing, mentoring and supporting the development of colleagues Takes ownership and accountability for delivering high-quality work, balancing scientific curiosity with practical impact Communicates complex ideas clearly and constructively, adapting style and approach for both technical and non-technical audiences Builds scalable and enduring solutions, with a focus on creating approaches, tools and ways of working that deliver long-term value Requirements Essential MSc or PhD in Computer Science, Mathematics, Physics, or equivalent quantitative field 5+ years of experience in designing and training deep learning models, with a record of matching architecture to challenging problems Evidence of delivering measurable impact through deep learning - for example, peer reviewed publications adopted by others, deployed systems in production, experimentally validated methods, or patented approaches Strong software engineering fundamentals, proficiency in JAX, PyTorch, or TensorFlow Comfort across the scientific Python stack (e.g. NumPy, SciPy, pandas, JAX/PyTorch) to analyse large, complex datasets Experience using AI coding tools and agentic workflows to prototype, refactor and maintain ML codebases, with appropriate review and quality controls Demonstrates curiosity about biology and operates effectively in multidisciplinary environments Desirable Successes in applying sequence or structure models to biological data - antibodies, TCR, proteins, or DNA/RNA Industry experience in (bio)tech or pharma Experience working across scientific disciplines Experience deploying ML models in production, including cloud infrastructure (e.g., AWS) NOTE: This job description is not intended to be all inclusive. Employees may perform other related duties as negotiated to meet the ongoing needs of the organisation.
21/06/2026
Full time
Overview Alchemab has developed a highly differentiated platform which enables the identification of novel drug targets and therapeutics by analysis of patient antibody repertoires. The platform uses well-defined patient samples, deep B cell sequencing, and computational analysis to identify convergent protective antibody responses among individuals that are susceptible but resilient to specific diseases. Alchemab is building a broad pipeline of protective therapeutics for hard-to-treat diseases, with an initial focus on neurodegenerative conditions and oncology. The highly specialized patient samples that power Alchemab's platform are made available through valued partnerships and collaborations with patient representative groups, biobanks, industry partners, and academic institutions. At the platform's core is one of the largest and most clinically meaningful antibody datasets in existence: half a billion antibody sequences drawn from thousands of patients and growing. The depth and breadth of proprietary data has enabled Alchemab to develop AntiBERTa and FAbCon, two of the leading foundation models for antibody sequences. These assets - unique data at scale, combined with state-of-the-art models - create the foundation for Alchemab's drug discovery pipeline. The Role Reporting in to the ML Director, this individual contributor role has real influence over technical direction and will operate and thrive at the interface of research and impact. The Principal Deep Learning (DP) Researcher will develop deep learning models and apply them across Alchemab's antibody discovery pipeline - from representation learning on B-cell receptor repertoires and antigen binding prediction, to generative models for sequence optimisation. You will work closely with software developers, computational biologists, experimental scientists, and antibody engineers to turn Alchemab's high-dimensional data into actionable model outputs and testable hypotheses, while helping set the ML strategy and supporting the development of colleagues across the organisation. Ultimately, the purpose of this role is to deliver innovative, production ready deep learning solutions that materially advance Alchemab's antibody discovery and optimisation platform. Responsibilities Develops deep learning architectures for antibody sequence understanding, generation, and binding prediction Partners with the Director of ML to define and deliver Alchemab's ML strategy Collaborates with software and DevOps teams to democratize ML capabilities Communicates conclusions (not just observations) to both domain experts and non-experts Designs rigorous benchmarks to evaluate model performance against experimental ground truth Contributes to patent filings and publications arising from novel methodologies Stays current with the ML literature; identify and evaluate approaches worth integrating Ways of Working Contributes to a culture of continuous learning through knowledge sharing, mentoring and supporting the development of colleagues Takes ownership and accountability for delivering high-quality work, balancing scientific curiosity with practical impact Communicates complex ideas clearly and constructively, adapting style and approach for both technical and non-technical audiences Builds scalable and enduring solutions, with a focus on creating approaches, tools and ways of working that deliver long-term value Requirements Essential MSc or PhD in Computer Science, Mathematics, Physics, or equivalent quantitative field 5+ years of experience in designing and training deep learning models, with a record of matching architecture to challenging problems Evidence of delivering measurable impact through deep learning - for example, peer reviewed publications adopted by others, deployed systems in production, experimentally validated methods, or patented approaches Strong software engineering fundamentals, proficiency in JAX, PyTorch, or TensorFlow Comfort across the scientific Python stack (e.g. NumPy, SciPy, pandas, JAX/PyTorch) to analyse large, complex datasets Experience using AI coding tools and agentic workflows to prototype, refactor and maintain ML codebases, with appropriate review and quality controls Demonstrates curiosity about biology and operates effectively in multidisciplinary environments Desirable Successes in applying sequence or structure models to biological data - antibodies, TCR, proteins, or DNA/RNA Industry experience in (bio)tech or pharma Experience working across scientific disciplines Experience deploying ML models in production, including cloud infrastructure (e.g., AWS) NOTE: This job description is not intended to be all inclusive. Employees may perform other related duties as negotiated to meet the ongoing needs of the organisation.
Internal role informationSBU: HMRC CSDLocal grade: O8Global Grade: C2Location: Telford, Worthing, Birmingham, Bristol, Cardiff, Leeds, Manchester, LondonAbout the job you're consideringCapgemini are recruiting highly skilled Lead Engineers to join their dynamic team, delivering solutions for a major public sector client. This is an opportunity to work on meaningful projects that impact millions of people, in an environment that values innovation and collaboration.Our mature Agile environment provides a supportive space to collaborate with specialists from other disciplines. You'll be part of a culture that encourages continuous improvement, knowledge sharing, and technical excellence.Our Lead Engineer, you'll go beyond delivery-shaping technical strategy, mentoring engineers, and driving innovation across projects. You'll influence best practices within our engineering community and play a key role in defining how we build and deliver modern digital services.Hybrid working: Your working location will vary depending on your role, personal needs, and business requirements. This will typically include a mix of company offices, client sites, and remote work from home. If your location is Telford or Worthing (please note the Worthing office will relocate to Brighton & Hove in the second half of 2026) you will be expected to work from the office between 40% and 70% of the time. For all other locations you need to be prepared to come into the Telford or Worthing office once to twice a month (Lead engineers more frequently). As we align closely with customer requirements-which may change over time-you will need to remain flexible. Please note that fully remote working (100% from home) is not permitted.Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutionsorapplications.1. Applies scientific methods to analyse and solve software engineering problems.2. Heorshe is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. Hisorher work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of hisorher software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.Your roleArchitectural Ownership: Define and govern the technical architecture for Scala-based solutions, ensuring alignment with enterprise standards and long-term scalability.Technical Strategy: Set the roadmap for Scala adoption, tooling, and best practices across teams; influence technology choices at programme level.Cross-Team Leadership: Coordinate multiple squads, ensuring consistent delivery and technical quality across all Scala projects.Complex Problem Solving: Tackle high-level design challenges, performance bottlenecks, and integration issues in distributed systems.Stakeholder Influence: Represent engineering in senior forums, providing technical insight and shaping strategic decisions.Capability Building: Drive recruitment, training, and upskilling initiatives for Scala engineers; establish communities of practice.Innovation Leadership: Introduce emerging Scala libraries, frameworks, and patterns to improve productivity and maintain competitive edge.Our CultureWe're looking for people who are learning focused, challenge the status quo and are constantly looking to shape their working environment to make it an exciting, fun and interesting place to work.Keeping things fresh is something we encourage in our working practices, but the culture of continuous improvement is equally as important in our technical approach to building and delivering modern digital services. Your knowledge and experience will be used to change the way we build solutions including utilising new tools and technologies to solve new problems or improve existing services.Working on our services means you'll be part of a team, but you'll also be a part of communities of interest. This means you'll always have people on hand to share and discuss ideas and get help when needed. The engineering organisation is engineering led, supporting each other through coaching and mentoring, so if you want to change something it's within your power to do so.Your skills and experienceStrong professional experience with Scala and functional programmingExperience designing and consuming REST APIs; JSON validation/serialisation using Play JSON or Circe.Designing for and querying relational databases such as PostgreSQL and/or NoSQL databases such as MongoDB.Writing unit and integration tests using technology such as ScalaTest, Specs2 and Mockito while following TDD/BDDFamiliarity with SBT for build/CI/CD automation and GIT with branching strategies.Solid understanding of web/HTTP, web security best practices, and performance considerations.Familiarity with cloud-based infrastructure, CI/CD pipelines, and containerisation.Lead Engineer will also demonstrate:Ability to design and govern complex Scala-based architectures for scalability and maintainability.Skill in setting technology roadmaps and influencing decisions across multiple teams.Leadership & Mentorship: Strong capability to lead teams, coach senior engineers, and foster a culture of technical excellence.Stakeholder Engagement: Ability to communicate technical strategies effectively to senior stakeholders and influence outcomes.Community & Capability Building: Drive recruitment, training, and establish communities of practice for Scala engineering.Innovation: Competence in introducing emerging Scala libraries, frameworks, and patterns to enhance delivery.We are a Disability Confident EmployerCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Your security clearanceTo be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Make it real - what does it mean for you?You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You'll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You'll be joining a professional community of experts, who have got your back and will support you, every step of the way.Why you should consider CapgeminiGrowing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About CapgeminiCapgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
21/06/2026
Full time
Internal role informationSBU: HMRC CSDLocal grade: O8Global Grade: C2Location: Telford, Worthing, Birmingham, Bristol, Cardiff, Leeds, Manchester, LondonAbout the job you're consideringCapgemini are recruiting highly skilled Lead Engineers to join their dynamic team, delivering solutions for a major public sector client. This is an opportunity to work on meaningful projects that impact millions of people, in an environment that values innovation and collaboration.Our mature Agile environment provides a supportive space to collaborate with specialists from other disciplines. You'll be part of a culture that encourages continuous improvement, knowledge sharing, and technical excellence.Our Lead Engineer, you'll go beyond delivery-shaping technical strategy, mentoring engineers, and driving innovation across projects. You'll influence best practices within our engineering community and play a key role in defining how we build and deliver modern digital services.Hybrid working: Your working location will vary depending on your role, personal needs, and business requirements. This will typically include a mix of company offices, client sites, and remote work from home. If your location is Telford or Worthing (please note the Worthing office will relocate to Brighton & Hove in the second half of 2026) you will be expected to work from the office between 40% and 70% of the time. For all other locations you need to be prepared to come into the Telford or Worthing office once to twice a month (Lead engineers more frequently). As we align closely with customer requirements-which may change over time-you will need to remain flexible. Please note that fully remote working (100% from home) is not permitted.Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutionsorapplications.1. Applies scientific methods to analyse and solve software engineering problems.2. Heorshe is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. Hisorher work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of hisorher software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.Your roleArchitectural Ownership: Define and govern the technical architecture for Scala-based solutions, ensuring alignment with enterprise standards and long-term scalability.Technical Strategy: Set the roadmap for Scala adoption, tooling, and best practices across teams; influence technology choices at programme level.Cross-Team Leadership: Coordinate multiple squads, ensuring consistent delivery and technical quality across all Scala projects.Complex Problem Solving: Tackle high-level design challenges, performance bottlenecks, and integration issues in distributed systems.Stakeholder Influence: Represent engineering in senior forums, providing technical insight and shaping strategic decisions.Capability Building: Drive recruitment, training, and upskilling initiatives for Scala engineers; establish communities of practice.Innovation Leadership: Introduce emerging Scala libraries, frameworks, and patterns to improve productivity and maintain competitive edge.Our CultureWe're looking for people who are learning focused, challenge the status quo and are constantly looking to shape their working environment to make it an exciting, fun and interesting place to work.Keeping things fresh is something we encourage in our working practices, but the culture of continuous improvement is equally as important in our technical approach to building and delivering modern digital services. Your knowledge and experience will be used to change the way we build solutions including utilising new tools and technologies to solve new problems or improve existing services.Working on our services means you'll be part of a team, but you'll also be a part of communities of interest. This means you'll always have people on hand to share and discuss ideas and get help when needed. The engineering organisation is engineering led, supporting each other through coaching and mentoring, so if you want to change something it's within your power to do so.Your skills and experienceStrong professional experience with Scala and functional programmingExperience designing and consuming REST APIs; JSON validation/serialisation using Play JSON or Circe.Designing for and querying relational databases such as PostgreSQL and/or NoSQL databases such as MongoDB.Writing unit and integration tests using technology such as ScalaTest, Specs2 and Mockito while following TDD/BDDFamiliarity with SBT for build/CI/CD automation and GIT with branching strategies.Solid understanding of web/HTTP, web security best practices, and performance considerations.Familiarity with cloud-based infrastructure, CI/CD pipelines, and containerisation.Lead Engineer will also demonstrate:Ability to design and govern complex Scala-based architectures for scalability and maintainability.Skill in setting technology roadmaps and influencing decisions across multiple teams.Leadership & Mentorship: Strong capability to lead teams, coach senior engineers, and foster a culture of technical excellence.Stakeholder Engagement: Ability to communicate technical strategies effectively to senior stakeholders and influence outcomes.Community & Capability Building: Drive recruitment, training, and establish communities of practice for Scala engineering.Innovation: Competence in introducing emerging Scala libraries, frameworks, and patterns to enhance delivery.We are a Disability Confident EmployerCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Your security clearanceTo be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Make it real - what does it mean for you?You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You'll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You'll be joining a professional community of experts, who have got your back and will support you, every step of the way.Why you should consider CapgeminiGrowing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About CapgeminiCapgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Research Software Engineer, Generative AI Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland. Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 5 years of experience programming in Python. One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning. Experience with deep learning frameworks (e.g., JAX) and with Python/ C++. Experience with mesh processing, skeletal animation pipelines. Understanding of linear algebra, calculus, and optimization. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices. Responsibilities Develop algorithms and models for 3D body shape estimation, rigging, and skinning. Work with parametric models to represent human populations for various applications with differing performance and quality requirements. Research and develop novel approaches to physics based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information. Work alongside software engineers and other research scientists to deliver production ready models and pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
20/06/2026
Full time
Research Software Engineer, Generative AI Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland. Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 5 years of experience programming in Python. One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning. Experience with deep learning frameworks (e.g., JAX) and with Python/ C++. Experience with mesh processing, skeletal animation pipelines. Understanding of linear algebra, calculus, and optimization. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices. Responsibilities Develop algorithms and models for 3D body shape estimation, rigging, and skinning. Work with parametric models to represent human populations for various applications with differing performance and quality requirements. Research and develop novel approaches to physics based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information. Work alongside software engineers and other research scientists to deliver production ready models and pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Solution Architect Brighton - hybrid Permanent, full time At MPB, we're transforming the way people buy, sell and trade used photography and videography equipment. As the world's largest platform for used camera gear, we're making kit more accessible and sustainable for creators around the world. We're looking for a Solution Architect to join our Technology team in Brighton. This is an exciting opportunity to play a key role in shaping the future of MPB's technology platform as we accelerate our adoption of AI across the business. Working closely with our Principal Architect, Product teams and Engineering squads, you'll help define how emerging technologies, AI capabilities and modern architecture patterns can unlock new opportunities for our customers and colleagues. This isn't a traditional architecture role. We're looking for someone who loves turning ideas into reality. Someone who enjoys getting hands on, building prototypes, experimenting with new technologies and proving what's possible. You'll combine strategic thinking with practical delivery, helping guide architectural decisions while actively contributing to the evolution of our platform. If you're excited by Generative AI, intelligent automation, AI agents and the opportunity to influence how a growing global business adopts emerging technology, we'd love to hear from you. What you'll be doing As a Solution Architect, you'll work across Product, Engineering and Architecture to design scalable, secure and high performing technology solutions that support MPB's growth. You'll help shape architectural direction while staying close to delivery, ensuring ideas are tested, validated and translated into meaningful business outcomes. You'll also: Partner with Product and Engineering teams to design scalable and maintainable technical solutions Support the development and implementation of architecture standards, principles and best practices Drive exploration of emerging technologies, with a particular focus on AI, Generative AI and intelligent automation Research, prototype and validate new technologies through hands on proof of concepts Identify opportunities to use AI to improve customer experiences, operational efficiency and colleague productivity Contribute code and technical solutions to demonstrate feasibility and reduce delivery risk Champion performance, scalability, reliability and security across the technology estate Support engineers with technical guidance, coaching and architectural best practices Communicate technical concepts and architectural direction clearly to both technical and non technical audiences Act as a trusted advisor across the business, helping stakeholders understand opportunities, trade offs and technical possibilities What we're looking for You're a highly capable technologist who enjoys solving complex problems and turning innovative ideas into practical solutions. You combine strong architectural thinking with a builder's mindset and are comfortable moving between strategy, design and hands on delivery. You're naturally curious, excited by emerging technologies and motivated by finding better ways of doing things. You'll bring: Significant experience in software engineering and solution architecture Strong understanding of distributed systems, cloud native architectures and modern software design principles Experience working with cloud platforms such as AWS or Google Cloud Strong analytical and problem solving skills with the ability to navigate complex technical challenges Practical experience working with AI technologies, Large Language Models and AI powered services Experience designing and integrating modern technology solutions within complex environments Strong coding skills, ideally using Python, Node.js or similar technologies Excellent communication skills and the ability to explain technical concepts clearly to a wide range of audiences A pragmatic approach that balances technical excellence with speed, value and delivery It would also be great if you have: Experience building AI powered applications, workflows or internal tools Familiarity with Retrieval Augmented Generation (RAG), AI agents and orchestration frameworks Experience evaluating and implementing emerging technologies within production environments Experience working in eCommerce, marketplace or high growth digital businesses A degree in Computer Science, Engineering or a related discipline Why MPB? We're at an exciting point in our technology journey. AI is becoming an increasingly important part of how we operate, build products and deliver value to our customers. This role offers a unique opportunity to help shape that future, working alongside talented Product, Engineering and Data teams to explore what's possible and turn innovative ideas into scalable solutions. Alongside exciting technical challenges, we work hard to create a culture where people feel supported, empowered and inspired to grow. Our values shape how we work together every day: Better connected - We work collaboratively and embrace diversity, creating a safe space for all Passionately ambitious - We strive to improve, encouraging creativity and honesty Agents of change - We innovate, promote sustainability and inspire development Empowering and empowered - We encourage ownership, accountability and initiative Focused on excellence - We aim high and work smart Insight driven - We use data and learning to continuously improve About MPB MPB is the world's leading platform for used photography and videography equipment. Trusted by hundreds of thousands of visual storytellers worldwide, we make it easy to buy, sell and trade used camera gear while helping to extend the life of equipment and reduce waste. We're committed to building an inclusive workplace where everyone can thrive. If you're excited about this role but don't meet every single requirement, we'd still love to hear from you.
20/06/2026
Full time
Solution Architect Brighton - hybrid Permanent, full time At MPB, we're transforming the way people buy, sell and trade used photography and videography equipment. As the world's largest platform for used camera gear, we're making kit more accessible and sustainable for creators around the world. We're looking for a Solution Architect to join our Technology team in Brighton. This is an exciting opportunity to play a key role in shaping the future of MPB's technology platform as we accelerate our adoption of AI across the business. Working closely with our Principal Architect, Product teams and Engineering squads, you'll help define how emerging technologies, AI capabilities and modern architecture patterns can unlock new opportunities for our customers and colleagues. This isn't a traditional architecture role. We're looking for someone who loves turning ideas into reality. Someone who enjoys getting hands on, building prototypes, experimenting with new technologies and proving what's possible. You'll combine strategic thinking with practical delivery, helping guide architectural decisions while actively contributing to the evolution of our platform. If you're excited by Generative AI, intelligent automation, AI agents and the opportunity to influence how a growing global business adopts emerging technology, we'd love to hear from you. What you'll be doing As a Solution Architect, you'll work across Product, Engineering and Architecture to design scalable, secure and high performing technology solutions that support MPB's growth. You'll help shape architectural direction while staying close to delivery, ensuring ideas are tested, validated and translated into meaningful business outcomes. You'll also: Partner with Product and Engineering teams to design scalable and maintainable technical solutions Support the development and implementation of architecture standards, principles and best practices Drive exploration of emerging technologies, with a particular focus on AI, Generative AI and intelligent automation Research, prototype and validate new technologies through hands on proof of concepts Identify opportunities to use AI to improve customer experiences, operational efficiency and colleague productivity Contribute code and technical solutions to demonstrate feasibility and reduce delivery risk Champion performance, scalability, reliability and security across the technology estate Support engineers with technical guidance, coaching and architectural best practices Communicate technical concepts and architectural direction clearly to both technical and non technical audiences Act as a trusted advisor across the business, helping stakeholders understand opportunities, trade offs and technical possibilities What we're looking for You're a highly capable technologist who enjoys solving complex problems and turning innovative ideas into practical solutions. You combine strong architectural thinking with a builder's mindset and are comfortable moving between strategy, design and hands on delivery. You're naturally curious, excited by emerging technologies and motivated by finding better ways of doing things. You'll bring: Significant experience in software engineering and solution architecture Strong understanding of distributed systems, cloud native architectures and modern software design principles Experience working with cloud platforms such as AWS or Google Cloud Strong analytical and problem solving skills with the ability to navigate complex technical challenges Practical experience working with AI technologies, Large Language Models and AI powered services Experience designing and integrating modern technology solutions within complex environments Strong coding skills, ideally using Python, Node.js or similar technologies Excellent communication skills and the ability to explain technical concepts clearly to a wide range of audiences A pragmatic approach that balances technical excellence with speed, value and delivery It would also be great if you have: Experience building AI powered applications, workflows or internal tools Familiarity with Retrieval Augmented Generation (RAG), AI agents and orchestration frameworks Experience evaluating and implementing emerging technologies within production environments Experience working in eCommerce, marketplace or high growth digital businesses A degree in Computer Science, Engineering or a related discipline Why MPB? We're at an exciting point in our technology journey. AI is becoming an increasingly important part of how we operate, build products and deliver value to our customers. This role offers a unique opportunity to help shape that future, working alongside talented Product, Engineering and Data teams to explore what's possible and turn innovative ideas into scalable solutions. Alongside exciting technical challenges, we work hard to create a culture where people feel supported, empowered and inspired to grow. Our values shape how we work together every day: Better connected - We work collaboratively and embrace diversity, creating a safe space for all Passionately ambitious - We strive to improve, encouraging creativity and honesty Agents of change - We innovate, promote sustainability and inspire development Empowering and empowered - We encourage ownership, accountability and initiative Focused on excellence - We aim high and work smart Insight driven - We use data and learning to continuously improve About MPB MPB is the world's leading platform for used photography and videography equipment. Trusted by hundreds of thousands of visual storytellers worldwide, we make it easy to buy, sell and trade used camera gear while helping to extend the life of equipment and reduce waste. We're committed to building an inclusive workplace where everyone can thrive. If you're excited about this role but don't meet every single requirement, we'd still love to hear from you.
Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalation of breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. Or for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave. AI Platform Engineer - Shape the Future of AI at Barclays We're excited to launch a groundbreaking initiative at Barclays - building a next generation platform that empowers front office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AI Platform Engineer, you'll play a pivotal role in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on premises and cloud environments. This is a hands on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You'll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands on experience with Hugging Face libraries and tools for model training, evaluation and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions. This role can be based out of our Glasgow or Canary Wharf office.
20/06/2026
Full time
Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalation of breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. Or for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave. AI Platform Engineer - Shape the Future of AI at Barclays We're excited to launch a groundbreaking initiative at Barclays - building a next generation platform that empowers front office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AI Platform Engineer, you'll play a pivotal role in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on premises and cloud environments. This is a hands on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You'll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands on experience with Hugging Face libraries and tools for model training, evaluation and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions. This role can be based out of our Glasgow or Canary Wharf office.
