Machine Learning Engineer - Remote As a Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £60,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
May 04, 2024
Full time
Machine Learning Engineer - Remote As a Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £60,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
Senior Machine Learning Engineer - Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. You'll be maintaining and enhancing CI/CD pipelines alongside architecting and managing cloud infrastructure using Terraform We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £75,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
May 04, 2024
Full time
Senior Machine Learning Engineer - Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. You'll be maintaining and enhancing CI/CD pipelines alongside architecting and managing cloud infrastructure using Terraform We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £75,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
May 03, 2024
Full time
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
May 03, 2024
Full time
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
May 03, 2024
Full time
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
May 03, 2024
Full time
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer the environment: Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
May 03, 2024
Full time
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer the environment: Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
May 03, 2024
Full time
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. Top 3 skills needed: Delivery of high-impact machine learning projects Stakeholder management and collaboration Identification of new project opportunities What this role is all about: At Vitality, data scientists develop and deploy machine learning models that help us realise our core purpose and achieve our ongoing business objectives.Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases spanning a broad variety of advanced techniques. We have a test-and-learn ethos, meaning models are deployed quickly into business processes allowing us to assess the impact of our work. Our data science function and its members play a key role in shaping new projects in an innovative environment that's focused on making our members healthier and enhancing and protects their lives. Key Actions Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection, evaluation, deployment, and monitoring. Working independently and providing support and guidance to others. Receiving guidance from managers only in the most complex situations. Delivering work that stands up to the scrutiny of other senior data scientists and managers. Being recognised by the data science community as highly capable in all aspects of the machine learning life cycle. Analysing issues and recommending solutions. Solving complex problems, taking a broad perspective to identify solutions. Delivering high impact projects: working on projects that have well defined business benefits. Managing projects as well as providing oversight of other data scientists' work. Leveraging your experience of working on previous projects to deliver new projects quickly and working with commitment and urgency to achieve this. Managing several competing projects concurrently, prioritising your time effectively so as not to compromise delivery. Engaging stakeholders: working with stakeholders to support and understand their core needs and requirements to ensure the delivery of high impact projects. Putting forward well-reasoned arguments to all stakeholders in the business with confidence and leading and presenting engagements with stakeholders. Proactively collaborating with stakeholders and taking responsibility for stakeholder relationships. Providing examples of how alternative approaches might work and demonstrating advanced communication skills. Facilitating meetings and guiding discussions. Fielding complex questions and engaging at a high level in your area of expertise. Negotiating and resolving conflicts. Building and transferring skills and knowledge: taking responsibility for developing personal skills and expertise aligned to your role. Being fully competent in the core technologies used by the team as well as a range of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of your knowledge and your ability to apply it to solve the problems faced by Vitality. Proactively creating learning opportunities for other data scientists and analysts by initiating and conducting sessions to develop skills and knowledge in line with the needs of the business. Actively coach and support other data scientists and be viewed as a technical expert by others in the analytical community. Having a well-developed understanding of the overall dynamics of Vitality's business. Applying risk management and governance: considering potential risks at every stage of a project. Championing model governance and data protection. Collaborating within and across teams: working effectively together with others across varying areas of expertise to achieve the required results. Essential Skills needed to fulfil this role: Undergraduate degree in numerical subject Strong knowledge of Microsoft Office tools Significant experience accessing and analysing data using SQL and Python Significant experience using commonly used regression and classification algorithms Experience (3+ yrs) working as a data scientist Expert in the process of building and implementing machine learning models to solve business problems Taken a lead role in the management of data science projects Ability to prioritise work in relation to likely business impact Communicates effectively to technical and non-technical audiences at all levels of the organisation Demonstrable experience of working with the business to identify new projects So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits.
May 01, 2024
Full time
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. Top 3 skills needed: Delivery of high-impact machine learning projects Stakeholder management and collaboration Identification of new project opportunities What this role is all about: At Vitality, data scientists develop and deploy machine learning models that help us realise our core purpose and achieve our ongoing business objectives.Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases spanning a broad variety of advanced techniques. We have a test-and-learn ethos, meaning models are deployed quickly into business processes allowing us to assess the impact of our work. Our data science function and its members play a key role in shaping new projects in an innovative environment that's focused on making our members healthier and enhancing and protects their lives. Key Actions Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection, evaluation, deployment, and monitoring. Working independently and providing support and guidance to others. Receiving guidance from managers only in the most complex situations. Delivering work that stands up to the scrutiny of other senior data scientists and managers. Being recognised by the data science community as highly capable in all aspects of the machine learning life cycle. Analysing issues and recommending solutions. Solving complex problems, taking a broad perspective to identify solutions. Delivering high impact projects: working on projects that have well defined business benefits. Managing projects as well as providing oversight of other data scientists' work. Leveraging your experience of working on previous projects to deliver new projects quickly and working with commitment and urgency to achieve this. Managing several competing projects concurrently, prioritising your time effectively so as not to compromise delivery. Engaging stakeholders: working with stakeholders to support and understand their core needs and requirements to ensure the delivery of high impact projects. Putting forward well-reasoned arguments to all stakeholders in the business with confidence and leading and presenting engagements with stakeholders. Proactively collaborating with stakeholders and taking responsibility for stakeholder relationships. Providing examples of how alternative approaches might work and demonstrating advanced communication skills. Facilitating meetings and guiding discussions. Fielding complex questions and engaging at a high level in your area of expertise. Negotiating and resolving conflicts. Building and transferring skills and knowledge: taking responsibility for developing personal skills and expertise aligned to your role. Being fully competent in the core technologies used by the team as well as a range of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of your knowledge and your ability to apply it to solve the problems faced by Vitality. Proactively creating learning opportunities for other data scientists and analysts by initiating and conducting sessions to develop skills and knowledge in line with the needs of the business. Actively coach and support other data scientists and be viewed as a technical expert by others in the analytical community. Having a well-developed understanding of the overall dynamics of Vitality's business. Applying risk management and governance: considering potential risks at every stage of a project. Championing model governance and data protection. Collaborating within and across teams: working effectively together with others across varying areas of expertise to achieve the required results. Essential Skills needed to fulfil this role: Undergraduate degree in numerical subject Strong knowledge of Microsoft Office tools Significant experience accessing and analysing data using SQL and Python Significant experience using commonly used regression and classification algorithms Experience (3+ yrs) working as a data scientist Expert in the process of building and implementing machine learning models to solve business problems Taken a lead role in the management of data science projects Ability to prioritise work in relation to likely business impact Communicates effectively to technical and non-technical audiences at all levels of the organisation Demonstrable experience of working with the business to identify new projects So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits.
MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN LONDON WITH SECURITY CLEARANCE Permanent opportunity for a Machine Learning Engineer Must hold SC or DV Clearance £40,000 to £75,000 plus bonus and benefits London based organisation in an accessible location To apply please call or email WHO WE ARE? We are recruiting a permanent Machine Learning Engineer to work with a leading technology and engineering company that do excellent work across Defence and National Security sectors covering a range of exciting projects. Due to the nature of our clients, you must hold Security Clearance. WHAT WILL THE MACHINE LEARNING ENGINEER BE DOING? As a Machine Learning Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE MACHINE LEARNING ENGINEER SHOULD HAVE . SC or DV Security Clearance to work on secure projects Demonstratable technical background in Machine Learning/Data Science Experience with programming languages such as Python and R Demonstratable experience developing & delivering Machine Learning strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. MACHINE LEARNING ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
May 01, 2024
Full time
MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN LONDON WITH SECURITY CLEARANCE Permanent opportunity for a Machine Learning Engineer Must hold SC or DV Clearance £40,000 to £75,000 plus bonus and benefits London based organisation in an accessible location To apply please call or email WHO WE ARE? We are recruiting a permanent Machine Learning Engineer to work with a leading technology and engineering company that do excellent work across Defence and National Security sectors covering a range of exciting projects. Due to the nature of our clients, you must hold Security Clearance. WHAT WILL THE MACHINE LEARNING ENGINEER BE DOING? As a Machine Learning Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE MACHINE LEARNING ENGINEER SHOULD HAVE . SC or DV Security Clearance to work on secure projects Demonstratable technical background in Machine Learning/Data Science Experience with programming languages such as Python and R Demonstratable experience developing & delivering Machine Learning strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. MACHINE LEARNING ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
DATA SCIENCE ENGINEER - DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENCE ENGINEER IN LONDON WITH DV CLEARANCE Permanent opportunity for a Data Science Engineer DV security clearance is required Salary up to £85,000 plus bonus and benefits London based organisation in an accessible location To apply please call / or email WHO WE ARE? We are recruiting a permanent Data Science Engineer to work with a leading technology and engineering company that do excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold DV security clearance. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE DATA SCIENCE ENGINEER SHOULD HAVE . Strong and demonstratable technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current DV security clearance TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENCE ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
May 01, 2024
Full time
DATA SCIENCE ENGINEER - DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENCE ENGINEER IN LONDON WITH DV CLEARANCE Permanent opportunity for a Data Science Engineer DV security clearance is required Salary up to £85,000 plus bonus and benefits London based organisation in an accessible location To apply please call / or email WHO WE ARE? We are recruiting a permanent Data Science Engineer to work with a leading technology and engineering company that do excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold DV security clearance. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE DATA SCIENCE ENGINEER SHOULD HAVE . Strong and demonstratable technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current DV security clearance TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENCE ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
Who we are / the team: Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. We are passionate about what we do. At Bloomberg, we have the richest and most comprehensive financial datasets and analytics in the world. Our powerful enterprise products serve a large and diverse client base from data intensive analytics to trading. The Bloomberg Quant Platform (BQuant) is the frontier of our work - a platform for quantitative finance professionals to rapidly analyze data and research trading strategies. What's in it for you: We are looking for an experienced professional with a background in designing and delivering products for large scale data and quant analytics to help us create an industry leading solution. This is a unique opportunity to join a cross-functional team with Product, Engineering, Quant, CTO, and Client teams. The team is global, located in London, New York and San Francisco. We are expanding the team, along with similar hiring in our Engineering department, to accelerate the range of products and use cases we support within BQuant. Your role: As a product manager, you will be responsible for identifying target markets, challenges worth solving, and how to solve them, as well as executing upon that strategy. Examples of areas you could be working on include: Data solutions to help customers discover, access and manage data to drive quantitative research, analytics and application building in BQuant. Liaison with our data-producing teams at Bloomberg to onboard new content, ensure data quality, design and deliver turnkey data access. Quant analytics libraries for users of BQuant and the rest of our team who are creating specific workflow solutions on top such as natural language processing (NLP), backtesting, trading systems integration etc. Product ownership of revenue generating BQuant offerings ranging from core solutions for equity, fixed income, and macro quants to advanced solutions including Intraday Analytics and Textual Analytics. We'll trust you to: Formulate the vision and execution strategy for your product area. Drive the design and delivery of end-to-end products that are built on the Bloomberg Quant Platform and Bloomberg's Data and Services. Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirements. Be a company thought leader on data and quant workflows from trading strategy ideation to portfolio construction and management to trading and implementation. You'll need to have: 7+ years in quantitative research, portfolio management, or execution research ideally across multiple asset classes 3+ years of product management or equivalent experience within a leading financial institution or financial technology provider designing and delivering quantitative products including Python libraries and APIs Deep knowledge of use cases across buy side and sell side, asset classes, and different trading strategies. Ability to effectively communicate and collaborate with engineers, UX, data scientists, and senior management. We'd love to see: Experience with the management and usage of multi-asset, alternative and proprietary data in finance An advanced degree in a STEM subject or Economics / Finance Familiarity with Bloomberg products including the Bloomberg Terminal and Enterprise products Experience with public cloud providers such as AWS or Azure Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email .
May 01, 2024
Full time
Who we are / the team: Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. We are passionate about what we do. At Bloomberg, we have the richest and most comprehensive financial datasets and analytics in the world. Our powerful enterprise products serve a large and diverse client base from data intensive analytics to trading. The Bloomberg Quant Platform (BQuant) is the frontier of our work - a platform for quantitative finance professionals to rapidly analyze data and research trading strategies. What's in it for you: We are looking for an experienced professional with a background in designing and delivering products for large scale data and quant analytics to help us create an industry leading solution. This is a unique opportunity to join a cross-functional team with Product, Engineering, Quant, CTO, and Client teams. The team is global, located in London, New York and San Francisco. We are expanding the team, along with similar hiring in our Engineering department, to accelerate the range of products and use cases we support within BQuant. Your role: As a product manager, you will be responsible for identifying target markets, challenges worth solving, and how to solve them, as well as executing upon that strategy. Examples of areas you could be working on include: Data solutions to help customers discover, access and manage data to drive quantitative research, analytics and application building in BQuant. Liaison with our data-producing teams at Bloomberg to onboard new content, ensure data quality, design and deliver turnkey data access. Quant analytics libraries for users of BQuant and the rest of our team who are creating specific workflow solutions on top such as natural language processing (NLP), backtesting, trading systems integration etc. Product ownership of revenue generating BQuant offerings ranging from core solutions for equity, fixed income, and macro quants to advanced solutions including Intraday Analytics and Textual Analytics. We'll trust you to: Formulate the vision and execution strategy for your product area. Drive the design and delivery of end-to-end products that are built on the Bloomberg Quant Platform and Bloomberg's Data and Services. Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirements. Be a company thought leader on data and quant workflows from trading strategy ideation to portfolio construction and management to trading and implementation. You'll need to have: 7+ years in quantitative research, portfolio management, or execution research ideally across multiple asset classes 3+ years of product management or equivalent experience within a leading financial institution or financial technology provider designing and delivering quantitative products including Python libraries and APIs Deep knowledge of use cases across buy side and sell side, asset classes, and different trading strategies. Ability to effectively communicate and collaborate with engineers, UX, data scientists, and senior management. We'd love to see: Experience with the management and usage of multi-asset, alternative and proprietary data in finance An advanced degree in a STEM subject or Economics / Finance Familiarity with Bloomberg products including the Bloomberg Terminal and Enterprise products Experience with public cloud providers such as AWS or Azure Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email .
Director of Generative AI - Innovation Lab (Hybrid) Are you looking for career move that will allow you to lead strategic projects from zero to one building a green-field development at scale? Then join Citi Innovation Lab, a leader in creating innovative technology solutions and ground-breaking innovations for Citi's global banking business. Spanning across cities like New York, London, Tel Aviv, and Shanghai, the lab network focuses on delivering cutting-edge products that use the latest technologies, even in highly complex setups, all while maintaining the highest delivery standards. The team works on research and implementation across various advanced domains, including AI, Machine Learning, Natural Language Processing (NLP), analytics, blockchain and more. Job Description: We're on the hunt for a highly skilled and experienced senior AI Engineering manager to lead a GenAI platform unit. In this role, you'll be a key player in driving innovative projects throughout the bank, using generative AI and large language models. The ideal candidate has a track record in delivering AI products to production, and at scale, in domains of GenAI and classic AI. Your mission? To work closely with our business partners and stakeholders to introduce and embrace these advanced technologies. Your goal will be to elevate client experiences, provide value to our customers and ensure we meet our regulatory commitments, using the most cutting-edge technology solutions available. If you're ready to make a real impact, we want you on our team! Key Responsibilities: Leadership: Lead an engineering group focused on GenAI and work with multiple senior stakeholders across the bank Use case identification: Work closely with various business units and stakeholders to identify and scope potential use cases for generative AI within the organization. Strategy: Develop and execute a comprehensive strategy for generative AI research and development, aligning it with the bank's overall goals and objectives. Research and development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques. Product integration: Collaborate with product managers and engineers to integrate generative AI technologies into our products and services. Stakeholder engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and large language models (LLM), identifying opportunities for innovation and value creation. Regulatory compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation. Budget management: Ensure that projects are delivered on budget and to plan. External partnerships: Engage with external start-ups and research providers to ensure that we use the correct and best technology. Qualifications: BSc/BA in computer Science or equivalent degree; MSc/MA preferred Experience in machine learning, delivering complex solutions to production. In-depth knowledge of AI techniques, tools and technologies. Knowledge in AI SDLC and ML Ops platforms Proficiency in programming languages such as Python. Excellent problem-solving skills and the ability to think creatively. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Publications and contributions to the AI research community are a plus. What we can offer you: This is a unique role that will put you in the position to actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are passionate about generative AI and want to shape the strategy for Citi Innovation Lab to stay on the forefront of the field, apply today. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
May 01, 2024
Full time
Director of Generative AI - Innovation Lab (Hybrid) Are you looking for career move that will allow you to lead strategic projects from zero to one building a green-field development at scale? Then join Citi Innovation Lab, a leader in creating innovative technology solutions and ground-breaking innovations for Citi's global banking business. Spanning across cities like New York, London, Tel Aviv, and Shanghai, the lab network focuses on delivering cutting-edge products that use the latest technologies, even in highly complex setups, all while maintaining the highest delivery standards. The team works on research and implementation across various advanced domains, including AI, Machine Learning, Natural Language Processing (NLP), analytics, blockchain and more. Job Description: We're on the hunt for a highly skilled and experienced senior AI Engineering manager to lead a GenAI platform unit. In this role, you'll be a key player in driving innovative projects throughout the bank, using generative AI and large language models. The ideal candidate has a track record in delivering AI products to production, and at scale, in domains of GenAI and classic AI. Your mission? To work closely with our business partners and stakeholders to introduce and embrace these advanced technologies. Your goal will be to elevate client experiences, provide value to our customers and ensure we meet our regulatory commitments, using the most cutting-edge technology solutions available. If you're ready to make a real impact, we want you on our team! Key Responsibilities: Leadership: Lead an engineering group focused on GenAI and work with multiple senior stakeholders across the bank Use case identification: Work closely with various business units and stakeholders to identify and scope potential use cases for generative AI within the organization. Strategy: Develop and execute a comprehensive strategy for generative AI research and development, aligning it with the bank's overall goals and objectives. Research and development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques. Product integration: Collaborate with product managers and engineers to integrate generative AI technologies into our products and services. Stakeholder engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and large language models (LLM), identifying opportunities for innovation and value creation. Regulatory compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation. Budget management: Ensure that projects are delivered on budget and to plan. External partnerships: Engage with external start-ups and research providers to ensure that we use the correct and best technology. Qualifications: BSc/BA in computer Science or equivalent degree; MSc/MA preferred Experience in machine learning, delivering complex solutions to production. In-depth knowledge of AI techniques, tools and technologies. Knowledge in AI SDLC and ML Ops platforms Proficiency in programming languages such as Python. Excellent problem-solving skills and the ability to think creatively. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Publications and contributions to the AI research community are a plus. What we can offer you: This is a unique role that will put you in the position to actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are passionate about generative AI and want to shape the strategy for Citi Innovation Lab to stay on the forefront of the field, apply today. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
Senior Data Scientist/AI NLP Engineer At QuantRisk, you'll have the chance to build a career as unique as you are, with the inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help QuantRisk become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Opportunity We live in a data rich World and more & more of our personal and business interactions are being driven by the application of advanced analytics and artificial intelligence (AI). At QuantRisk, we are helping organisations transform, to continually improve the way they 'do business' and lead in the market. We are doing this by challenging the norm, by taking on the 'too hard' problems and by helping organisations become insight driven . We have a fast-growing Data & Analytics practice within Consulting, where Data Science & AI NLP Engineers are at the tip of the spear for driving growth. Whether you are have a passion for NLP, love playing with Graphs or like writing AI-powered chat bots, we would really like to hear from you. Your Responsibilities We are looking to bring in talented people like you across all our grades. No day would be 'typical', but you could expect to be involved in some or all of the activities listed below during the course of your career: Leading the pursuit of new work through client conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring Data Science & AI Engineers Managing bid response work to articulate what value we can bring Skills & Attributes for Success Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the 'too hard' business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff. If you have some or all of the below, then get in touch: Professional experience in delivery of advanced analytics/DS/AI projects Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science libraries and understand how to apply them to various problem types Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Data wrangling and manipulation techniques Ideally, you'll also have Experience of working on cloud platforms Used a data visualisation technology, like Tableau, Power BI or Qlik Software engineering experience (e.g. coding standards, version control, testing, review) Experience of IoT Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail What we look for We're interested in intellectually curious people, with a genuine passion for finding and implementing innovative ways nurture growth. You'll also need excellent communication and negotiation skills. We'll look to you to have the ability to express big ideas to influence C-suite leaders while also having technical skills to architect the right solutions for clients. If you're ready to take ownership of a team that's poised to take the industry by storm, this role is for you. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply now.
May 01, 2024
Full time
Senior Data Scientist/AI NLP Engineer At QuantRisk, you'll have the chance to build a career as unique as you are, with the inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help QuantRisk become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Opportunity We live in a data rich World and more & more of our personal and business interactions are being driven by the application of advanced analytics and artificial intelligence (AI). At QuantRisk, we are helping organisations transform, to continually improve the way they 'do business' and lead in the market. We are doing this by challenging the norm, by taking on the 'too hard' problems and by helping organisations become insight driven . We have a fast-growing Data & Analytics practice within Consulting, where Data Science & AI NLP Engineers are at the tip of the spear for driving growth. Whether you are have a passion for NLP, love playing with Graphs or like writing AI-powered chat bots, we would really like to hear from you. Your Responsibilities We are looking to bring in talented people like you across all our grades. No day would be 'typical', but you could expect to be involved in some or all of the activities listed below during the course of your career: Leading the pursuit of new work through client conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring Data Science & AI Engineers Managing bid response work to articulate what value we can bring Skills & Attributes for Success Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the 'too hard' business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff. If you have some or all of the below, then get in touch: Professional experience in delivery of advanced analytics/DS/AI projects Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science libraries and understand how to apply them to various problem types Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Data wrangling and manipulation techniques Ideally, you'll also have Experience of working on cloud platforms Used a data visualisation technology, like Tableau, Power BI or Qlik Software engineering experience (e.g. coding standards, version control, testing, review) Experience of IoT Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail What we look for We're interested in intellectually curious people, with a genuine passion for finding and implementing innovative ways nurture growth. You'll also need excellent communication and negotiation skills. We'll look to you to have the ability to express big ideas to influence C-suite leaders while also having technical skills to architect the right solutions for clients. If you're ready to take ownership of a team that's poised to take the industry by storm, this role is for you. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply now.
Senior Data Scientist Salary: £70,000-£90,000 LONDON - 3 days a week in Central London office Join a dynamic team of Data Scientists working on high-impact, commercially driven machine learning models, as part of a marketing consultancy! ROLE AND RESPONSIBILITIES Working closely within a team, to design and build models across pricing, churn, lifetime value, segmentation and more! Focusing on ROI and commercial value You will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable feedback. Opportunity to mentor and upskill junior members of the team Looking at more advanced GenAI techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) SKILLS AND EXPERIENCE Required Proficiency in Python and SQL Proven experience in customer-driven modelling, with clear commercial impact and value highlighted Excellent communication skills, and a growth mindset End-to-end experience with skillset in Docker/Kubernetes and cloud platforms Preferred Experience developing Propensity and customer retention models Experience developing recommender systems. Experience in Forecasting and marketing modelling Pricing and promotion optimisation modelling Apply below!
May 01, 2024
Full time
Senior Data Scientist Salary: £70,000-£90,000 LONDON - 3 days a week in Central London office Join a dynamic team of Data Scientists working on high-impact, commercially driven machine learning models, as part of a marketing consultancy! ROLE AND RESPONSIBILITIES Working closely within a team, to design and build models across pricing, churn, lifetime value, segmentation and more! Focusing on ROI and commercial value You will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable feedback. Opportunity to mentor and upskill junior members of the team Looking at more advanced GenAI techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) SKILLS AND EXPERIENCE Required Proficiency in Python and SQL Proven experience in customer-driven modelling, with clear commercial impact and value highlighted Excellent communication skills, and a growth mindset End-to-end experience with skillset in Docker/Kubernetes and cloud platforms Preferred Experience developing Propensity and customer retention models Experience developing recommender systems. Experience in Forecasting and marketing modelling Pricing and promotion optimisation modelling Apply below!
Senior level AI Engineer, NLP, Large Language Models, ML, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
May 01, 2024
Full time
Senior level AI Engineer, NLP, Large Language Models, ML, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
Principal AI Engineer - HealthTech GenAI & MLOps Hybrid - Woking - 3x a week Up to £85k Seeking a Principal AI Engineer specialising in Automation & GenAI to drive cutting-edge solutions. You'll have the opportunity to work on the forefront of GenAI technology, strategizing, building, and supporting implementations that will enable them to deliver faster and more effectively than ever before. You'll be responsible for building and running GenAI capabilities, ensuring robust support and integration into standard incident processes as the products mature. You'll collaborate with distributed teams across the business to facilitate the consumption of AI/ML capabilities and play a hands-on role in coding, building, governing, and maintaining these solutions. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously modernizing our software development processes using CI/CD techniques. Requirements: developing machine learning models using Python or TensorFlow with NLP and AI technologies pipelines background in DevOps practices: CI/CD, TDD, SDLC Ownership, growth, and well-being are all encouraged, and they're committed to fostering a strong connected organisation through coaching, mentoring, and continuous learning opportunities. Sounds good? Apply today to be considered!
May 01, 2024
Full time
Principal AI Engineer - HealthTech GenAI & MLOps Hybrid - Woking - 3x a week Up to £85k Seeking a Principal AI Engineer specialising in Automation & GenAI to drive cutting-edge solutions. You'll have the opportunity to work on the forefront of GenAI technology, strategizing, building, and supporting implementations that will enable them to deliver faster and more effectively than ever before. You'll be responsible for building and running GenAI capabilities, ensuring robust support and integration into standard incident processes as the products mature. You'll collaborate with distributed teams across the business to facilitate the consumption of AI/ML capabilities and play a hands-on role in coding, building, governing, and maintaining these solutions. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously modernizing our software development processes using CI/CD techniques. Requirements: developing machine learning models using Python or TensorFlow with NLP and AI technologies pipelines background in DevOps practices: CI/CD, TDD, SDLC Ownership, growth, and well-being are all encouraged, and they're committed to fostering a strong connected organisation through coaching, mentoring, and continuous learning opportunities. Sounds good? Apply today to be considered!
Principal Machine Learning Engineer - GenAI LLMs & MLOps Hybrid - Basingstoke - 2/3x a week Up to £85k Looking for a Principal ML Engineer with a focus on Automation & GenAI to lead the development of cutting-edge solutions for a growing, international healthcare company. Your responsibilities will include developing and managing GenAI capabilities, integrating them seamlessly into standard processes as they evolve. Collaboration with teams across the organization will be key as you assist in the adoption of AI/ML capabilities and actively participate in coding, development, governance, and maintenance. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously improving our software development practices using CI/CD techniques. Ideal candidates will have: Experience developing machine learning models using Python or TensorFlow Familiarity with NLP and AI technologies, including LLMs Familiarity in building data pipelines Strong background in DevOps practices: CI/CD, TDD, SDLC We prioritize ownership, growth, and well-being, fostering a connected organization through coaching, mentoring, and continuous learning opportunities. If this sounds like the opportunity for you, apply today to be considered!
May 01, 2024
Full time
Principal Machine Learning Engineer - GenAI LLMs & MLOps Hybrid - Basingstoke - 2/3x a week Up to £85k Looking for a Principal ML Engineer with a focus on Automation & GenAI to lead the development of cutting-edge solutions for a growing, international healthcare company. Your responsibilities will include developing and managing GenAI capabilities, integrating them seamlessly into standard processes as they evolve. Collaboration with teams across the organization will be key as you assist in the adoption of AI/ML capabilities and actively participate in coding, development, governance, and maintenance. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously improving our software development practices using CI/CD techniques. Ideal candidates will have: Experience developing machine learning models using Python or TensorFlow Familiarity with NLP and AI technologies, including LLMs Familiarity in building data pipelines Strong background in DevOps practices: CI/CD, TDD, SDLC We prioritize ownership, growth, and well-being, fostering a connected organization through coaching, mentoring, and continuous learning opportunities. If this sounds like the opportunity for you, apply today to be considered!
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
May 01, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Working at SambaNova SambaNova Systems is hiring a Principal AI Solutions Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross-functional teams across Sambanova's software, hardware and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey. Responsibilities • Work with both external users and internal engineering teams to develop robust, efficient and scalable AI solutions that meet customers' needs. • Integrate the latest model architecture, data curation, and performance optimization technologies from the AI industry and research into SambaNova's technical stack. • Create end-to-end solutions for ML applications to enable model training and fine-tuning on domain-specific data. • Enable high throughput and low latency inference applications for at-scale deployment. • Collaborate with cross-functional software and hardware teams to innovate customer-centric applications. • Work with diverse data types: textual, unstructured, tabular and multimodal data. Basic Qualifications • Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics • 5+ years of industry experience, including 3+ in one or more of the following: • Deep learning algorithm development • Compiler • Software-Hardware Co-design • Proficiency in Python or C++, with a solid foundation in data structures, algorithms, and machine learning. • Proficiency in one or more of the popular ML frameworks (PyTorch/Tensorflow/JAX) Additional Required Qualifications • Experience in machine learning productization and pipeline development in software engineering • Real-world experience in multi-lingual LLM applications training and inference. • Real-world experience in vision-language multimodality. • Development and deployment Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Question Answering, Copilot. • Development with DeepSeed, Megatron, vLLM, and TensorRT. Preferred Qualifications • CUDA/OpenCL programming skills. Experience with CuDNN, and CUDA math libraries (CuBLAS, CuFFT, ) is a plus. • First author in CS/ML publication Company: SambaNova Systems Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Information Retrieval , Machine Learning , NLP , Question Answering , Unspecified
May 01, 2024
Full time
Working at SambaNova SambaNova Systems is hiring a Principal AI Solutions Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross-functional teams across Sambanova's software, hardware and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey. Responsibilities • Work with both external users and internal engineering teams to develop robust, efficient and scalable AI solutions that meet customers' needs. • Integrate the latest model architecture, data curation, and performance optimization technologies from the AI industry and research into SambaNova's technical stack. • Create end-to-end solutions for ML applications to enable model training and fine-tuning on domain-specific data. • Enable high throughput and low latency inference applications for at-scale deployment. • Collaborate with cross-functional software and hardware teams to innovate customer-centric applications. • Work with diverse data types: textual, unstructured, tabular and multimodal data. Basic Qualifications • Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics • 5+ years of industry experience, including 3+ in one or more of the following: • Deep learning algorithm development • Compiler • Software-Hardware Co-design • Proficiency in Python or C++, with a solid foundation in data structures, algorithms, and machine learning. • Proficiency in one or more of the popular ML frameworks (PyTorch/Tensorflow/JAX) Additional Required Qualifications • Experience in machine learning productization and pipeline development in software engineering • Real-world experience in multi-lingual LLM applications training and inference. • Real-world experience in vision-language multimodality. • Development and deployment Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Question Answering, Copilot. • Development with DeepSeed, Megatron, vLLM, and TensorRT. Preferred Qualifications • CUDA/OpenCL programming skills. Experience with CuDNN, and CUDA math libraries (CuBLAS, CuFFT, ) is a plus. • First author in CS/ML publication Company: SambaNova Systems Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Information Retrieval , Machine Learning , NLP , Question Answering , Unspecified