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.
Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
23/06/2026
Full time
Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
23/06/2026
Full time
Step into a pivotal role at the forefront of JP Morgan's AI transformation. As part of the Chief Analytics Office (CAO), you'll drive innovation and shape the future of financial technology. You'll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. Job Summary As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production grade LLM systems that power mission critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. Job Responsibilities You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM based systems for text, image, speech, and video applications. Own end to end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research with robust engineering to build innovative, production ready solutions. Drive results with an entrepreneurial mindset in a fast paced, high impact environment. Required Qualifications, Capabilities, and Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high throughput, low latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands on experience with parameter efficient fine tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization aware training for LLMs at scale. Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large scale multimodal models. Orchestrate advanced agentic workflows, including multi agent coordination, stateful task management, and integration with enterprise event driven architectures. Equal Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
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.
Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk's Incubation Accelerator is seeking a Staff Incubation Engineer to join our innovative team, building transformative products from the ground up. This is a unique opportunity to operate with the agility of a startup, while leveraging Snyk's extensive infrastructure, customer reach, and industry insights.As a Staff Incubation Engineer, you will be at the forefront of technical innovation, tackling complex engineering challenges to develop a new product. This role demands full-stack development expertise, a strong grasp of system architecture for AI applications, and end-to-end ownership of the product lifecycle-from rapid prototyping to large-scale deployment. You will operate in a lean, agile environment, iterating rapidly on solutions to achieve product-market fit. What You'll Do: Full-Stack Product Development: Design, develop, and implement scalable, high-performance software solutions from scratch, covering both frontend and backend components. System Architecture & Design: Architect flexible, scalable, and secure systems, ensuring robust, maintainable, and high-quality codebases. Rapid Prototyping & Iteration: Build rapid prototypes to validate ideas, iterate on feedback, and pivot quickly to achieve the best product-market fit. AI Agent Development: Design, develop, and deploy intelligent AI agents and autonomous systems, focusing on their integration into new product offerings. Performance Optimization: Analyze and optimize system performance, ensuring high availability, low latency, and efficient resource utilization. Cloud-Native Deployment: Design and deploy cloud-native applications leveraging modern infrastructure, including containerization and microservices architecture. Agile Development & CI/CD: Operate within a lean, agile environment, utilizing continuous integration and delivery pipelines to accelerate development cycles. Cross-Functional Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure cohesive product development and alignment with business goals. Technical Leadership & Mentorship: Foster a culture of high ownership, creativity, and technical excellence. What You Bring: Deep experience in AI/ML systems, experience deploying intelligent agents using agentic or multi-agent architectures, with foresight for future needs and strategic alignment. Strong proficiency in modern programming languages (e.g., Python, Golang, NodeJS) and frameworks, applying them to innovative products. Experience with agile and CI/CD, with autonomy to streamline processes for efficient delivery in a fast-paced environment. It'd Be Awesome If You Also Are genuinely excited by the prospect of working on early-stage products, engaging directly with customers to rapidly identify, prioritize, and iteratively solve problems to build truly beloved solutions. Thrive in the face of complex, ambiguous technical challenges, consistently finding innovative solutions where others might see roadblocks, and embracing the iterative nature of startup development. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
23/06/2026
Full time
Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk's Incubation Accelerator is seeking a Staff Incubation Engineer to join our innovative team, building transformative products from the ground up. This is a unique opportunity to operate with the agility of a startup, while leveraging Snyk's extensive infrastructure, customer reach, and industry insights.As a Staff Incubation Engineer, you will be at the forefront of technical innovation, tackling complex engineering challenges to develop a new product. This role demands full-stack development expertise, a strong grasp of system architecture for AI applications, and end-to-end ownership of the product lifecycle-from rapid prototyping to large-scale deployment. You will operate in a lean, agile environment, iterating rapidly on solutions to achieve product-market fit. What You'll Do: Full-Stack Product Development: Design, develop, and implement scalable, high-performance software solutions from scratch, covering both frontend and backend components. System Architecture & Design: Architect flexible, scalable, and secure systems, ensuring robust, maintainable, and high-quality codebases. Rapid Prototyping & Iteration: Build rapid prototypes to validate ideas, iterate on feedback, and pivot quickly to achieve the best product-market fit. AI Agent Development: Design, develop, and deploy intelligent AI agents and autonomous systems, focusing on their integration into new product offerings. Performance Optimization: Analyze and optimize system performance, ensuring high availability, low latency, and efficient resource utilization. Cloud-Native Deployment: Design and deploy cloud-native applications leveraging modern infrastructure, including containerization and microservices architecture. Agile Development & CI/CD: Operate within a lean, agile environment, utilizing continuous integration and delivery pipelines to accelerate development cycles. Cross-Functional Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure cohesive product development and alignment with business goals. Technical Leadership & Mentorship: Foster a culture of high ownership, creativity, and technical excellence. What You Bring: Deep experience in AI/ML systems, experience deploying intelligent agents using agentic or multi-agent architectures, with foresight for future needs and strategic alignment. Strong proficiency in modern programming languages (e.g., Python, Golang, NodeJS) and frameworks, applying them to innovative products. Experience with agile and CI/CD, with autonomy to streamline processes for efficient delivery in a fast-paced environment. It'd Be Awesome If You Also Are genuinely excited by the prospect of working on early-stage products, engaging directly with customers to rapidly identify, prioritize, and iteratively solve problems to build truly beloved solutions. Thrive in the face of complex, ambiguous technical challenges, consistently finding innovative solutions where others might see roadblocks, and embracing the iterative nature of startup development. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
23/06/2026
Full time
Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI/Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; £90-115,000 base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
23/06/2026
Full time
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI/Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; £90-115,000 base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
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.
At Improbable, we build and scale ambitious AI and Web3 ventures shaping the next generation of the internet. We're hiring for a venture building a next-generation blockchain for real-time, large-scale applications, designed to overcome the speed and cost limitations of traditional blockchain infrastructure, the technology is fast, cost-efficient and fully EVM-compatible, enabling developers, creators and communities to build immersive products with greater ownership and interoperability. About the Role We're hiring an Engineer to turn bold ideas into working demos that show developers what's possible. This is a hands-on role for someone who loves building and shipping fast. You'll take concepts across DeFi, trading systems and agentic workflows, and turn them into live demos, prototypes and technical content that bring the technology to life and inspire developers to start building. You'll think independently, move quickly and create experiences that make complex technology feel clear, useful and exciting. If you use AI tools to accelerate how you think, build and deliver, you'll thrive in this role. What you'll be doing You'll create the demos, prototypes and technical content that help developers and partners see what potentially can be built. Build demo dApps that bring the technology to life, from real-time trading interfaces and onchain games to agent-powered applications Create trading bot demos that highlight execution quality, onchain order books and new interaction models Prototype agentic applications, including autonomous agents coordinating onchain, prediction market resolvers and agent-to-agent workflows Produce video walkthroughs, live demos and coding content that make complex ideas easy to understand and exciting to explore Develop reusable starter kits, templates and reference projects that help developers start building faster Spot ecosystem trends early and turn them into timely, compelling demo ideas Partner with DevRel, Marketing and BD to support launches, partnerships and broader go-to-market activity What we're looking for Strong Solidity and EVM development experience, including writing, deploying and interacting with smart contracts Ability to build polished frontend interfaces for demos and prototypes A track record of turning ideas into working products, prototypes or experiments Strong instincts for what makes a demo memorable Comfortable working at speed and shipping rough but effective prototypes in days, not weeks High conviction, independent thinking and a bias toward action AI-native working habits, using tools to accelerate research, ideation, building and delivery This role is ideal for someone who loves building in public, experimenting quickly and creating the proof points that get developers, partners and the wider ecosystem excited. Apply if you want to build the demos people talk about.
23/06/2026
Full time
At Improbable, we build and scale ambitious AI and Web3 ventures shaping the next generation of the internet. We're hiring for a venture building a next-generation blockchain for real-time, large-scale applications, designed to overcome the speed and cost limitations of traditional blockchain infrastructure, the technology is fast, cost-efficient and fully EVM-compatible, enabling developers, creators and communities to build immersive products with greater ownership and interoperability. About the Role We're hiring an Engineer to turn bold ideas into working demos that show developers what's possible. This is a hands-on role for someone who loves building and shipping fast. You'll take concepts across DeFi, trading systems and agentic workflows, and turn them into live demos, prototypes and technical content that bring the technology to life and inspire developers to start building. You'll think independently, move quickly and create experiences that make complex technology feel clear, useful and exciting. If you use AI tools to accelerate how you think, build and deliver, you'll thrive in this role. What you'll be doing You'll create the demos, prototypes and technical content that help developers and partners see what potentially can be built. Build demo dApps that bring the technology to life, from real-time trading interfaces and onchain games to agent-powered applications Create trading bot demos that highlight execution quality, onchain order books and new interaction models Prototype agentic applications, including autonomous agents coordinating onchain, prediction market resolvers and agent-to-agent workflows Produce video walkthroughs, live demos and coding content that make complex ideas easy to understand and exciting to explore Develop reusable starter kits, templates and reference projects that help developers start building faster Spot ecosystem trends early and turn them into timely, compelling demo ideas Partner with DevRel, Marketing and BD to support launches, partnerships and broader go-to-market activity What we're looking for Strong Solidity and EVM development experience, including writing, deploying and interacting with smart contracts Ability to build polished frontend interfaces for demos and prototypes A track record of turning ideas into working products, prototypes or experiments Strong instincts for what makes a demo memorable Comfortable working at speed and shipping rough but effective prototypes in days, not weeks High conviction, independent thinking and a bias toward action AI-native working habits, using tools to accelerate research, ideation, building and delivery This role is ideal for someone who loves building in public, experimenting quickly and creating the proof points that get developers, partners and the wider ecosystem excited. Apply if you want to build the demos people talk about.
Overview We're looking for a Senior AI QA Engineer who doesn't wait to be told what to test. You'll own quality across our Wealth Management experience - from strategy to execution, from microservices to the UI your customers touch. This role shapes how quality works, pushes automation to developers, and advocates shift-left while maintaining high standards under pressure. You'll be the quality voice in product discussions, architecture reviews, and incident retrospectives. When something breaks, you're already halfway through debugging it. When a new product launches, you've already stress-tested it. Responsibilities Own the Quality Strategy. Define and execute the test strategy for every new product and feature across the Wealth Management business line. Build and adapt plans to real-world conditions. Drive Automation Where It Matters. Build and maintain automation frameworks for microservices, APIs, and end-to-end flows. Enable team self-sufficiency for regressions. Lead Performance Testing. Own performance testing end-to-end - design load profiles, script scenarios, analyze results, and collaborate with engineering to fix issues. Champion Shift-Left Practices. Embed quality thinking early in the development lifecycle. Ask how to test in design reviews and shorten feedback loops. Monitor, Observe, Debug. Read logs, trace requests in distributed systems, and independently debug issues without waiting for a root-cause handoff. Operate Under Pressure. Manage multiple projects, communicate tradeoffs clearly, and deliver consistently under high pace. Influence and Collaborate. Work across product, engineering, and stakeholder teams; raise risks early and bring teams along. Qualifications 7+ years in QA with a track record of owning quality across complex, modern systems. Deep programming ability with strong skills in at least one language; preference for TypeScript, with ability to pick up other languages quickly. Automation expertise for microservices, with experience in contract testing, API testing, and keeping test suites fast and reliable. Performance testing proficiency with tools such as K6, Gatling, Locust, or JMeter and ability to design realistic load models. CI/CD fluency; experience integrating test automation into pipelines; AWS infrastructure experience preferred. Monitoring and observability know-how with tools like Datadog, Grafana, CloudWatch, etc. Strong communication and presence in agile ceremonies, product discussions, and cross-team conversations. Experience with AI & Agentic Systems Experience testing AI-driven or non-deterministic systems is valued. Strong plus if you have: Testing agentic AI systems, LLM-powered features, or recommendation engines with probabilistic outputs. Designing validation strategies for non-deterministic behavior, including output quality scoring and guardrail verification. Evaluating AI model outputs for accuracy, safety, bias, and hallucination. If you haven't worked with AI yet but are curious and eager to learn, that matters to us too. Nice to Have Experience in fintech, wealth management, or regulated financial services. Contributions to internal quality guilds or engineering culture initiatives. Experience mentoring junior QA engineers or developers on testing best practices. What we're really looking for Beyond the skills and experience, we want ownership and independence. You don't wait for permission to improve something. You fix gaps in coverage, flaky tests, or missing dashboards. You treat the Wealth Management experience line as yours and hold yourself to the same standard as the product. You're a quality enabler who helps teams ship reliable software. Working Hours Monday to Thursday: 9:00 AM - 6:00 PM Friday: 8:00 AM - 4:00 PM Enjoy a structured yet balanced workweek with an early Friday finish to kickstart your weekend. Perks Salary: £60,000 - £70,000 per annum Discretionary performance-related annual bonus Workplace pension scheme (5% on earnings up to £50,000) Private medical insurance and Employee Assistance Programme Cycle to work, season ticket loan, and other wellbeing benefits Free ChipX subscription for UK-based employees 28 days holiday plus bank holidays, plus days between Christmas and New Year Annual training budget for courses, workshops, or conferences Company laptop Opportunity to have a huge impact in a high-growth fintech Interview Process Video screen with Talent team Short take-home test Video technical interview with the hiring manager Final interview with Head of AI About Chip Chip's mission is to make your life wealthy. We're building the wealth super app of the future to manage, grow and protect wealth. Chip serves over 400,000 active customers and looks after over £6billion in assets. Our values are: Be ACCOUNTABLE, Be BOLD, Be COLLABORATIVE. We are an equal-opportunity employer and value diversity. We encourage applications from all backgrounds. Note to Agencies Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. Chip reserves the right to hire without any financial obligation to recruiters for unsolicited CVs.
23/06/2026
Full time
Overview We're looking for a Senior AI QA Engineer who doesn't wait to be told what to test. You'll own quality across our Wealth Management experience - from strategy to execution, from microservices to the UI your customers touch. This role shapes how quality works, pushes automation to developers, and advocates shift-left while maintaining high standards under pressure. You'll be the quality voice in product discussions, architecture reviews, and incident retrospectives. When something breaks, you're already halfway through debugging it. When a new product launches, you've already stress-tested it. Responsibilities Own the Quality Strategy. Define and execute the test strategy for every new product and feature across the Wealth Management business line. Build and adapt plans to real-world conditions. Drive Automation Where It Matters. Build and maintain automation frameworks for microservices, APIs, and end-to-end flows. Enable team self-sufficiency for regressions. Lead Performance Testing. Own performance testing end-to-end - design load profiles, script scenarios, analyze results, and collaborate with engineering to fix issues. Champion Shift-Left Practices. Embed quality thinking early in the development lifecycle. Ask how to test in design reviews and shorten feedback loops. Monitor, Observe, Debug. Read logs, trace requests in distributed systems, and independently debug issues without waiting for a root-cause handoff. Operate Under Pressure. Manage multiple projects, communicate tradeoffs clearly, and deliver consistently under high pace. Influence and Collaborate. Work across product, engineering, and stakeholder teams; raise risks early and bring teams along. Qualifications 7+ years in QA with a track record of owning quality across complex, modern systems. Deep programming ability with strong skills in at least one language; preference for TypeScript, with ability to pick up other languages quickly. Automation expertise for microservices, with experience in contract testing, API testing, and keeping test suites fast and reliable. Performance testing proficiency with tools such as K6, Gatling, Locust, or JMeter and ability to design realistic load models. CI/CD fluency; experience integrating test automation into pipelines; AWS infrastructure experience preferred. Monitoring and observability know-how with tools like Datadog, Grafana, CloudWatch, etc. Strong communication and presence in agile ceremonies, product discussions, and cross-team conversations. Experience with AI & Agentic Systems Experience testing AI-driven or non-deterministic systems is valued. Strong plus if you have: Testing agentic AI systems, LLM-powered features, or recommendation engines with probabilistic outputs. Designing validation strategies for non-deterministic behavior, including output quality scoring and guardrail verification. Evaluating AI model outputs for accuracy, safety, bias, and hallucination. If you haven't worked with AI yet but are curious and eager to learn, that matters to us too. Nice to Have Experience in fintech, wealth management, or regulated financial services. Contributions to internal quality guilds or engineering culture initiatives. Experience mentoring junior QA engineers or developers on testing best practices. What we're really looking for Beyond the skills and experience, we want ownership and independence. You don't wait for permission to improve something. You fix gaps in coverage, flaky tests, or missing dashboards. You treat the Wealth Management experience line as yours and hold yourself to the same standard as the product. You're a quality enabler who helps teams ship reliable software. Working Hours Monday to Thursday: 9:00 AM - 6:00 PM Friday: 8:00 AM - 4:00 PM Enjoy a structured yet balanced workweek with an early Friday finish to kickstart your weekend. Perks Salary: £60,000 - £70,000 per annum Discretionary performance-related annual bonus Workplace pension scheme (5% on earnings up to £50,000) Private medical insurance and Employee Assistance Programme Cycle to work, season ticket loan, and other wellbeing benefits Free ChipX subscription for UK-based employees 28 days holiday plus bank holidays, plus days between Christmas and New Year Annual training budget for courses, workshops, or conferences Company laptop Opportunity to have a huge impact in a high-growth fintech Interview Process Video screen with Talent team Short take-home test Video technical interview with the hiring manager Final interview with Head of AI About Chip Chip's mission is to make your life wealthy. We're building the wealth super app of the future to manage, grow and protect wealth. Chip serves over 400,000 active customers and looks after over £6billion in assets. Our values are: Be ACCOUNTABLE, Be BOLD, Be COLLABORATIVE. We are an equal-opportunity employer and value diversity. We encourage applications from all backgrounds. Note to Agencies Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. Chip reserves the right to hire without any financial obligation to recruiters for unsolicited CVs.
Qualifications A degree or equivalent experience, often in a STEM subject (though not essential). Excellent critical thinking and investigative mindset. Clear communication and ability to work effectively as part of a team. Ability to break down problems, think through possible solutions and question assumptions. Initiative and ownership - asking questions, experimenting, and taking responsibility as you learn. What You'll Do Take part in structured hands on training covering core engineering and testing skills. Test working software as part of a team, applying what you've learned in a real world setting. Be mentored by experienced colleagues in a collaborative environment that encourages knowledge sharing. Have the chance to earn industry standard certifications. Progress to client work, building confidence and taking on larger challenges over time. Work on a variety of projects including testing interactive web and mobile applications, assessing agentic AI solutions, delving into performance and resilience, and championing accessibility. Benefits 25 days annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme and group life assurance. Optional benefits such as discounted gym membership and a cycle to work scheme. EEO Statement We believe diversity drives innovation, and we embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
23/06/2026
Full time
Qualifications A degree or equivalent experience, often in a STEM subject (though not essential). Excellent critical thinking and investigative mindset. Clear communication and ability to work effectively as part of a team. Ability to break down problems, think through possible solutions and question assumptions. Initiative and ownership - asking questions, experimenting, and taking responsibility as you learn. What You'll Do Take part in structured hands on training covering core engineering and testing skills. Test working software as part of a team, applying what you've learned in a real world setting. Be mentored by experienced colleagues in a collaborative environment that encourages knowledge sharing. Have the chance to earn industry standard certifications. Progress to client work, building confidence and taking on larger challenges over time. Work on a variety of projects including testing interactive web and mobile applications, assessing agentic AI solutions, delving into performance and resilience, and championing accessibility. Benefits 25 days annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme and group life assurance. Optional benefits such as discounted gym membership and a cycle to work scheme. EEO Statement We believe diversity drives innovation, and we embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
23/06/2026
Full time
Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it's full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
23/06/2026
Full time
Job title: AI Developer Location: Reading - strong preference, Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Split of Responsibilities: 50% Delivery / 50% Internal Development & Enablement About BCN At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it's full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role This role is for a curious, hands on developer who wants to be at the forefront of AI powered software development. You'll join a small, agile team building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real world applications. We're looking for someone who thrives on understanding how things work, isn't afraid to experiment, and wants to shape how we deliver AI solutions to clients and evolve our internal capabilities. If you're excited by vibe coding, AI assisted development, and the rapidly evolving world of LLMs and autonomous agents-and you want to actually build with these technologies rather than just talk about them-this role is for you. Responsibilities Key Delivery Responsibilities Design, develop, and deploy AI integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping, and proof of concept development to support client proposals. Internal Development / Enablement Responsibilities Contribute to the development of internal AI tools, accelerators, and reusable components. Explore and evaluate emerging AI technologies, frameworks, and development approaches. Support the adoption of AI assisted development practices (vibe coding, AI testing, agentic development) across the team. Help shape product strategy by identifying opportunities to package and position AI solutions. Participate in knowledge sharing, internal training, and capability building within the AI and Data Innovation team. Person, Skills & Experience Solid full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Hands on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable ability to learn new technologies quickly and apply them practically. Strong problem solving mindset with attention to code quality and engineering rigour. Comfortable working independently while contributing to a collaborative small team environment. Excellent communication skills-able to explain technical concepts to non technical stakeholders. Advantageous Experience with LLM integration, prompt engineering, or agentic AI development. Familiarity with AI assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23 days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza Friday's, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
About Neutreeno Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We're Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We're a fast-moving team that values EQ just as much as IQ. Autonomy, high-ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. The Role As a Senior Full Stack Software Engineer and key member of the Neutreeno team, you'll be shipping great software, bringing strong engineering judgment, and making the team better through craft and collaboration. You'll ship across the full stack, crafting clean React UIs, building reliable Node.js and Python services, and deploying to AWS. You'll own features end-to-end alongside a small, strong engineering team, and you'll have real influence over how the product evolves. You also use AI coding tools and agentic workflows as a force multiplier, and you're actively curious about how they change what a small engineering team can achieve. This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements may be considered for outstanding international candidates, provided there is sufficient overlap with UK working hours. The Work You'll Do Technical Leadership Build responsive, modular UIs in React and TypeScript that make complex emissions data feel simple and intuitive. Develop and maintain backend services in Node.js, designing clean APIs and working with cloud-native AWS infrastructure. Ship features end-to-end: from picking up a product brief to deploying to production via our CI/CD pipelines. Contribute to the technical direction of Neutreeno, helping inform architectural decisions that balance speed, quality, and long-term scalability. Champion AI-native development practices and agentic workflows across your own work and actively share that thinking with the wider team. Team and Product Partner closely with the Neutreeno team to translate product ambitions into well-scoped, well-sequenced engineering work. Feed into the engineering roadmap, providing strong technical input on prioritisation, feature velocity, and technical health. Contribute to hiring decisions and help shape an engineering culture that helps Neutreeno scale. Communicate clearly about technical decisions and progress with product, design, and the wider team. The Minimum Qualifications You'll Need 7 or more years of professional software engineering experience. A strong individual contributor deeply motivated to stay hands on in the codebase, with a collaborative approach to sharing knowledge and raising quality across the team. Deep proficiency across the full stack, including React and TypeScript on the front end and Node.js on the back end. Solid experience with AWS infrastructure and cloud-native deployment. A proven track record of shipping high-quality software at pace. Real, daily use of AI coding tools and agentic development workflows as a core part of how you work. Strong communication and the ability to build trust quickly across engineering, product, and leadership. Preferred Qualifications Experience at an early stage startup as a senior individual contributor. Familiarity with GraphQL, Terraform, or CI/CD pipeline design. Experience integrating LLMs or building AI powered product features. Exposure to climate, sustainability, or deep tech domains. Degree in Computer Science or a related field (not required, track record speaks louder). What We Offer Compensations & Benefits: Competitive pay dependent on your skills, qualifications and experience. Year end performance bonus. 25 days annual leave. Competitive stock option plan. We want you to think and benefit like an owner as the company grows. Company pension with NEST. Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance). Cycle to work scheme. Work Environment: A hybrid work model that fosters both teamwork and individual flexibility. Remote working allowance (2 weeks per year). Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs. Great on site amenities (unlimited free coffee, monthly events with global sustainability leaders). Culture & Growth: A flat, fast growing team (200%+ YoY growth) from diverse backgrounds that recently closed a $5M seed round. An open-minded culture with a flat hierarchy and everyone vectoring in the same direction and where ideas and ownership matter. The chance to work alongside world class climate scientists and engineers on one of the most important problems of our time. How to Apply If you're a senior engineer who loves great code, thrives in a fast moving environment, and has a genuine point of view on how AI tooling fits into modern development, we want to hear from you. To apply, send your CV and a cover letter covering two things: how AI tooling features in your day to day development work, and what's drawing you to Neutreeno specifically. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace.
23/06/2026
Full time
About Neutreeno Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that. We're Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine. We're a fast-moving team that values EQ just as much as IQ. Autonomy, high-ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves. The Role As a Senior Full Stack Software Engineer and key member of the Neutreeno team, you'll be shipping great software, bringing strong engineering judgment, and making the team better through craft and collaboration. You'll ship across the full stack, crafting clean React UIs, building reliable Node.js and Python services, and deploying to AWS. You'll own features end-to-end alongside a small, strong engineering team, and you'll have real influence over how the product evolves. You also use AI coding tools and agentic workflows as a force multiplier, and you're actively curious about how they change what a small engineering team can achieve. This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements may be considered for outstanding international candidates, provided there is sufficient overlap with UK working hours. The Work You'll Do Technical Leadership Build responsive, modular UIs in React and TypeScript that make complex emissions data feel simple and intuitive. Develop and maintain backend services in Node.js, designing clean APIs and working with cloud-native AWS infrastructure. Ship features end-to-end: from picking up a product brief to deploying to production via our CI/CD pipelines. Contribute to the technical direction of Neutreeno, helping inform architectural decisions that balance speed, quality, and long-term scalability. Champion AI-native development practices and agentic workflows across your own work and actively share that thinking with the wider team. Team and Product Partner closely with the Neutreeno team to translate product ambitions into well-scoped, well-sequenced engineering work. Feed into the engineering roadmap, providing strong technical input on prioritisation, feature velocity, and technical health. Contribute to hiring decisions and help shape an engineering culture that helps Neutreeno scale. Communicate clearly about technical decisions and progress with product, design, and the wider team. The Minimum Qualifications You'll Need 7 or more years of professional software engineering experience. A strong individual contributor deeply motivated to stay hands on in the codebase, with a collaborative approach to sharing knowledge and raising quality across the team. Deep proficiency across the full stack, including React and TypeScript on the front end and Node.js on the back end. Solid experience with AWS infrastructure and cloud-native deployment. A proven track record of shipping high-quality software at pace. Real, daily use of AI coding tools and agentic development workflows as a core part of how you work. Strong communication and the ability to build trust quickly across engineering, product, and leadership. Preferred Qualifications Experience at an early stage startup as a senior individual contributor. Familiarity with GraphQL, Terraform, or CI/CD pipeline design. Experience integrating LLMs or building AI powered product features. Exposure to climate, sustainability, or deep tech domains. Degree in Computer Science or a related field (not required, track record speaks louder). What We Offer Compensations & Benefits: Competitive pay dependent on your skills, qualifications and experience. Year end performance bonus. 25 days annual leave. Competitive stock option plan. We want you to think and benefit like an owner as the company grows. Company pension with NEST. Leading private health insurance with WPA (the only Which? Recommended Provider for Private Medical Insurance). Cycle to work scheme. Work Environment: A hybrid work model that fosters both teamwork and individual flexibility. Remote working allowance (2 weeks per year). Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership, recognised by the FT as one of Europe's leading startup hubs. Great on site amenities (unlimited free coffee, monthly events with global sustainability leaders). Culture & Growth: A flat, fast growing team (200%+ YoY growth) from diverse backgrounds that recently closed a $5M seed round. An open-minded culture with a flat hierarchy and everyone vectoring in the same direction and where ideas and ownership matter. The chance to work alongside world class climate scientists and engineers on one of the most important problems of our time. How to Apply If you're a senior engineer who loves great code, thrives in a fast moving environment, and has a genuine point of view on how AI tooling fits into modern development, we want to hear from you. To apply, send your CV and a cover letter covering two things: how AI tooling features in your day to day development work, and what's drawing you to Neutreeno specifically. Neutreeno is an equal opportunity employer committed to creating an inclusive workplace.
Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Full-Stack AI Engineer for a 12 Months contract based in Edinburgh (Hybrid - 3 days per week in the office). Join us as a Full-Stack AI Engineer As an AI Full-Stack Engineer, you will design and deliver end-to-end AI-powered applications that drive real business impact across the enterprise. Working hands-on across the full technology stack, you will build intelligent solutions that combine modern software engineering with cutting-edge Generative AI and agentic systems. Your key responsibilities will include: Design, build, and deploy end-to-end AI applications, from data and model orchestration through to backend services and user interfaces. Work closely with business and product teams to translate high-value use cases into scalable, production-ready solutions. Rapidly prototype and iterate on Generative AI and agentic solutions, evolving them into robust, enterprise-grade applications. Develop and maintain clean, secure, and reliable code, following best practices in testing, CI/CD, and observability. Integrate AI capabilities into existing systems and contribute to shared platforms and reusable components. Monitor, optimise, and improve deployed solutions for performance, reliability, and cost efficiency. What you will bring to the role: Strong full-stack software engineering experience, with expertise in backend development (Python) and modern APIs. Hands-on experience with Generative AI, including Large Language Models, retrieval-augmented generation, or agentic frameworks. Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and cloud-native development practices. Experience delivering solutions in financial services or a regulated environment. Solid understanding of software engineering best practices, including testing, CI/CD, and system design. Ability to work in fast-paced, evolving environments with a pragmatic and adaptable mindset. Next steps Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists. AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements. We can only accept workers operating via an Umbrella or PAYE engagement model. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.
23/06/2026
Contractor
Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Full-Stack AI Engineer for a 12 Months contract based in Edinburgh (Hybrid - 3 days per week in the office). Join us as a Full-Stack AI Engineer As an AI Full-Stack Engineer, you will design and deliver end-to-end AI-powered applications that drive real business impact across the enterprise. Working hands-on across the full technology stack, you will build intelligent solutions that combine modern software engineering with cutting-edge Generative AI and agentic systems. Your key responsibilities will include: Design, build, and deploy end-to-end AI applications, from data and model orchestration through to backend services and user interfaces. Work closely with business and product teams to translate high-value use cases into scalable, production-ready solutions. Rapidly prototype and iterate on Generative AI and agentic solutions, evolving them into robust, enterprise-grade applications. Develop and maintain clean, secure, and reliable code, following best practices in testing, CI/CD, and observability. Integrate AI capabilities into existing systems and contribute to shared platforms and reusable components. Monitor, optimise, and improve deployed solutions for performance, reliability, and cost efficiency. What you will bring to the role: Strong full-stack software engineering experience, with expertise in backend development (Python) and modern APIs. Hands-on experience with Generative AI, including Large Language Models, retrieval-augmented generation, or agentic frameworks. Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and cloud-native development practices. Experience delivering solutions in financial services or a regulated environment. Solid understanding of software engineering best practices, including testing, CI/CD, and system design. Ability to work in fast-paced, evolving environments with a pragmatic and adaptable mindset. Next steps Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists. AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements. We can only accept workers operating via an Umbrella or PAYE engagement model. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.
Welcome to the Agentic Commerce EraAt Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce , Feedonomics , and Makeswift , we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.The Commerce Payment integrations team is looking for a Software Engineer who wants to make an impact at every level of society by powering innovators, creative thinkers, entrepreneurs, and business owners around the world to be successful at every stage of their growth.The Commerce Payment integrations team is responsible for building, operating, and continuously improving payment integrations on the BigCommerce platform - one of the most business-critical and revenue-sensitive areas of the product.Our team builds payment gateway integrations that help merchants securely process payments and support scalable, high-performance, and flexible checkout experiences.What The Team OwnsDesigns and maintains payment integrations functionality and APIs, including cart-to-order flows and payments processingEnsures high availability, performance, and correctness for checkout and payments related services, given their direct impact on merchant revenuePartners closely with Product to evolve checkout and payments capabilities while balancing quality, security (PCI), and speed of deliveryOwns incident management and on-call responsibilities for checkout services due to their critical natureThe Commerce Engineering organisation is on a mission to build the leading SaaS eCommerce platform. We work closely with engineering teams across multiple domains, product managers, designers, business stakeholders, and external partners to build a platform where we can easily and securely deliver new and alternative user experiences. Our team brings together people with varied experience and strengths, and we iterate, learn, and build great software together.What You'll DoDesign, implement, and maintain features in a Ruby on Rails service for the payments offering on the BigCommerce platformEnsure functionality is production-grade, with the appropriate test coverage on all layers, instrumentation in place, and documentationTroubleshoot production issues and contribute to post-incident reviews to improve reliabilityProduce bullet-proof code that is robust, efficient, and maintainableWork on challenging problems such as query optimization and performance optimization while adhering to security protocolsWork closely with operations and infrastructure to improve the architecture while building and scaling back-end servicesEngage in technical discussion of new solutions and architecturesBuild beautiful, scalable products using modern toolsCollaborate with our product and design teams to define feature specifications and timelinesBuild new features with a focus on testability and extensibilityEngage in technical discussion of new solutions and architecturesMentor other engineers in the current domainReview other engineer's code to maintain and improve quality and securitySupport an open, positive, and energized cultureEncourage innovation and foster an environment of continuous improvementEnsure that technical decisions support our goals of quality, performance, scalability, reliability, availability, and securityWho You Are3+ years of professional backend development experience, with a strong focus on Ruby on RailsSolid understanding of building and operating production-grade systems (e.g. you know your way around logs, traces, metrics, feature flags, and can debug live traffic issues)Familiarity with observability tooling (e.g. Prometheus, Grafana, Sentry and Lightstep)A good understanding of Domain Driven Designexperience integrating with third-party APIs and services, particularly those with nuanced state transitions (like payment flows).Education: Preferred Minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience or completed either a comprehensive software engineering boot campExperience with principles of continuous integration and designing, implementing and taking ownership of various tasks across the development cycleExperienced in developing high-performance, scalable and available web services, and applicationsExperience with PHP and Scala is preferred and BelongingAt Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.Learn more about the Commerce team, culture and benefits at Yourself Against Hiring Scams: Our Corporate DisclaimerCommerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.Be advised:Commerce does not offer jobs to individuals who do not go through our formal hiring process.Commerce will never:require payment of recruitment fees from candidates;request personally identifiable information through unsanctioned websites or applications;attempt to solicit money from you as part of the hiring process or as part of an employment offer;solicit money to complete visa requirements as part of a job offer.If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.
23/06/2026
Full time
Welcome to the Agentic Commerce EraAt Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce , Feedonomics , and Makeswift , we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.The Commerce Payment integrations team is looking for a Software Engineer who wants to make an impact at every level of society by powering innovators, creative thinkers, entrepreneurs, and business owners around the world to be successful at every stage of their growth.The Commerce Payment integrations team is responsible for building, operating, and continuously improving payment integrations on the BigCommerce platform - one of the most business-critical and revenue-sensitive areas of the product.Our team builds payment gateway integrations that help merchants securely process payments and support scalable, high-performance, and flexible checkout experiences.What The Team OwnsDesigns and maintains payment integrations functionality and APIs, including cart-to-order flows and payments processingEnsures high availability, performance, and correctness for checkout and payments related services, given their direct impact on merchant revenuePartners closely with Product to evolve checkout and payments capabilities while balancing quality, security (PCI), and speed of deliveryOwns incident management and on-call responsibilities for checkout services due to their critical natureThe Commerce Engineering organisation is on a mission to build the leading SaaS eCommerce platform. We work closely with engineering teams across multiple domains, product managers, designers, business stakeholders, and external partners to build a platform where we can easily and securely deliver new and alternative user experiences. Our team brings together people with varied experience and strengths, and we iterate, learn, and build great software together.What You'll DoDesign, implement, and maintain features in a Ruby on Rails service for the payments offering on the BigCommerce platformEnsure functionality is production-grade, with the appropriate test coverage on all layers, instrumentation in place, and documentationTroubleshoot production issues and contribute to post-incident reviews to improve reliabilityProduce bullet-proof code that is robust, efficient, and maintainableWork on challenging problems such as query optimization and performance optimization while adhering to security protocolsWork closely with operations and infrastructure to improve the architecture while building and scaling back-end servicesEngage in technical discussion of new solutions and architecturesBuild beautiful, scalable products using modern toolsCollaborate with our product and design teams to define feature specifications and timelinesBuild new features with a focus on testability and extensibilityEngage in technical discussion of new solutions and architecturesMentor other engineers in the current domainReview other engineer's code to maintain and improve quality and securitySupport an open, positive, and energized cultureEncourage innovation and foster an environment of continuous improvementEnsure that technical decisions support our goals of quality, performance, scalability, reliability, availability, and securityWho You Are3+ years of professional backend development experience, with a strong focus on Ruby on RailsSolid understanding of building and operating production-grade systems (e.g. you know your way around logs, traces, metrics, feature flags, and can debug live traffic issues)Familiarity with observability tooling (e.g. Prometheus, Grafana, Sentry and Lightstep)A good understanding of Domain Driven Designexperience integrating with third-party APIs and services, particularly those with nuanced state transitions (like payment flows).Education: Preferred Minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience or completed either a comprehensive software engineering boot campExperience with principles of continuous integration and designing, implementing and taking ownership of various tasks across the development cycleExperienced in developing high-performance, scalable and available web services, and applicationsExperience with PHP and Scala is preferred and BelongingAt Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.Learn more about the Commerce team, culture and benefits at Yourself Against Hiring Scams: Our Corporate DisclaimerCommerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.Be advised:Commerce does not offer jobs to individuals who do not go through our formal hiring process.Commerce will never:require payment of recruitment fees from candidates;request personally identifiable information through unsanctioned websites or applications;attempt to solicit money from you as part of the hiring process or as part of an employment offer;solicit money to complete visa requirements as part of a job offer.If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.
Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Data & Knowledge Architect (AI data foundations) for a 12 Months contract based in London or Edinburgh (Hybrid - 3 days per week in the office). Join us as a Data & Knowledge Architect (AI data foundations) . As a Data & Knowledge Architect, you will define how enterprise data is structured, governed, and transformed into AI-ready assets that power intelligent systems at scale. You will design the knowledge foundations that enable accurate, contextual, and trusted AI across agentic platforms, conversational systems, and advanced analytics. Your key responsibilities will include: Define and contribute to the enterprise data and knowledge architecture, supporting AI platforms and use cases across the organisation. Design and implement knowledge foundations, including taxonomies, ontologies, metadata, and knowledge graphs to support AI retrieval and reasoning. Establish scalable patterns for data ingestion, transformation, and retrieval across structured and unstructured data sources. Support the development of retrieval-augmented generation (RAG) frameworks, including embedding strategies, vector search, and data pipelines. Embed data governance, security, privacy, and Responsible AI practices across the knowledge layer. Collaborate with architecture, engineering, and business teams to ensure data readiness, quality, and accessibility for AI use cases . What you will bring to the role: Strong experience in data architecture, data engineering, or knowledge architecture within enterprise environments. Hands-on experience with AI data foundations, including embeddings, vector databases, and retrieval mechanisms (RAG). Proven track record working on large-scale transformation programmes, ideally within financial services (preferred/strong advantage). Solid understanding of data governance, quality, lineage, and security in regulated environments. Experience with modern cloud data platforms (AWS, Azure, or similar) and associated tooling. Strong stakeholder collaboration skills, with the ability to translate business needs into scalable data solutions. Next steps Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists. AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements. We can only accept workers operating via an Umbrella or PAYE engagement model. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.
23/06/2026
Contractor
Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Data & Knowledge Architect (AI data foundations) for a 12 Months contract based in London or Edinburgh (Hybrid - 3 days per week in the office). Join us as a Data & Knowledge Architect (AI data foundations) . As a Data & Knowledge Architect, you will define how enterprise data is structured, governed, and transformed into AI-ready assets that power intelligent systems at scale. You will design the knowledge foundations that enable accurate, contextual, and trusted AI across agentic platforms, conversational systems, and advanced analytics. Your key responsibilities will include: Define and contribute to the enterprise data and knowledge architecture, supporting AI platforms and use cases across the organisation. Design and implement knowledge foundations, including taxonomies, ontologies, metadata, and knowledge graphs to support AI retrieval and reasoning. Establish scalable patterns for data ingestion, transformation, and retrieval across structured and unstructured data sources. Support the development of retrieval-augmented generation (RAG) frameworks, including embedding strategies, vector search, and data pipelines. Embed data governance, security, privacy, and Responsible AI practices across the knowledge layer. Collaborate with architecture, engineering, and business teams to ensure data readiness, quality, and accessibility for AI use cases . What you will bring to the role: Strong experience in data architecture, data engineering, or knowledge architecture within enterprise environments. Hands-on experience with AI data foundations, including embeddings, vector databases, and retrieval mechanisms (RAG). Proven track record working on large-scale transformation programmes, ideally within financial services (preferred/strong advantage). Solid understanding of data governance, quality, lineage, and security in regulated environments. Experience with modern cloud data platforms (AWS, Azure, or similar) and associated tooling. Strong stakeholder collaboration skills, with the ability to translate business needs into scalable data solutions. Next steps Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists. AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements. We can only accept workers operating via an Umbrella or PAYE engagement model. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.
Job Titles : 2 x Senior Engineers 3 x Mid Level Engineers Salary : £90,000 - £100,000 Senior, £70,000 - £80,000 Mid Level Hybrid : Tues - Thurs on site, Mon & Fri remote (Soho) Tech : 80% backend Ruby on Rails, 20% frontend JS, VueJS (any frontend library is fine), AWS, need to have the interest and desire to embrace agentic tools Sector : Start-up, £2m recurring revenue, SaaS. I'm recruiting for a start-up who have done very well with their SaaS offering and built up £2m in recurring revenue. Their platform was built by an agency, but after hitting £2m revenue they've received investment and are looking to go in-house and completely revamp what has been built so far. Just hired a Director of Engineering and looking to add a team. 2 x Senior Engineers - 1 will remain an IC and the other ideally will want to be trained to be a technical lead. Room for 3 x mid level engineers.
23/06/2026
Full time
Job Titles : 2 x Senior Engineers 3 x Mid Level Engineers Salary : £90,000 - £100,000 Senior, £70,000 - £80,000 Mid Level Hybrid : Tues - Thurs on site, Mon & Fri remote (Soho) Tech : 80% backend Ruby on Rails, 20% frontend JS, VueJS (any frontend library is fine), AWS, need to have the interest and desire to embrace agentic tools Sector : Start-up, £2m recurring revenue, SaaS. I'm recruiting for a start-up who have done very well with their SaaS offering and built up £2m in recurring revenue. Their platform was built by an agency, but after hitting £2m revenue they've received investment and are looking to go in-house and completely revamp what has been built so far. Just hired a Director of Engineering and looking to add a team. 2 x Senior Engineers - 1 will remain an IC and the other ideally will want to be trained to be a technical lead. Room for 3 x mid level engineers.
The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination-specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API-first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed-loop foundation model partners coming online from mid-2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co-leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software-to-hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early-stage founding-engineer role at a venture-backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture-backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture-backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four-year schedule and a one-year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in-person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly offsite. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co-founder, who leads our autonomous lab buildout and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep-dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in-person founder-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. Substrate is an equal opportunity employer . click apply for full job details
23/06/2026
Full time
The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination-specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API-first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed-loop foundation model partners coming online from mid-2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co-leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software-to-hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early-stage founding-engineer role at a venture-backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture-backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture-backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four-year schedule and a one-year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in-person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly offsite. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co-founder, who leads our autonomous lab buildout and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep-dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in-person founder-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. Substrate is an equal opportunity employer . click apply for full job details
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance.This is an exciting opportunity to play a key role in delivering cutting-edge AI solutions within a secure, high-impact environment-helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production-grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI.Key responsibilities include: Designing, developing and deploying AI-enabled applications across cloud platforms Building and scaling Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production-ready services Engaging stakeholders to identify and shape high-value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof-of-concepts to support decision-making and future investment Experience Required Proven experience delivering AI-enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI-driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
23/06/2026
Contractor
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance.This is an exciting opportunity to play a key role in delivering cutting-edge AI solutions within a secure, high-impact environment-helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production-grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI.Key responsibilities include: Designing, developing and deploying AI-enabled applications across cloud platforms Building and scaling Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production-ready services Engaging stakeholders to identify and shape high-value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof-of-concepts to support decision-making and future investment Experience Required Proven experience delivering AI-enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI-driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
