Open to candidates legally eligible to work in Germany, Greece, Poland or Italy. The Purpose of the Role The External Relations (ER) department was created in February 2020 and is comprised of 3 main but complementary functions: Private fundraising, Communications and Policy & Advocacy. The ER department is three years into a 5 year ground breaking and ambitious global strategy that will improve IRC's ability to 'punch above its weight' in private income, advocacy and brand awareness. We are seeking a skilled and versatile Data Engineer to join our dynamic analytics team, which includes data scientists and analysts. In this role, you will leverage your expertise in both analytics engineering and machine learning operations (ML Ops), as well as infrastructure design and deployment, to build, maintain, and optimize the systems and tools that support our data pipelines, machine learning workflows, and business intelligence reporting. Major Responsibilities Support the entire workflow of the ER data model: data pipeline development, ELT performance, timely loading of data sets, and maintenance of data models via the use of monitoring, testing, and automation. Collaborate with analysts, data scientists, and ER stakeholders to understand the opportunities to develop well defined, integrated, production quality, and re usable data models in SQL using dbt, ensuring data quality. Collaborate with data scientists to build and automate end to end ML pipelines, from data preparation to model deployment and monitoring, including designing, implementing, and maintaining MLflow based workflows for model tracking, versioning, and deployment. Apply software engineering practices when creating new data models to ensure data quality & standardisation across our pipelines, and ML and BI tools. Employ comprehensive testing and documentation practices. Drive clear requirements documentation and contribute to code review. Identify and execute internal process improvements, including re designing infrastructure for greater scalability and automating manual processes. Act as a technical expert to the rest of the ER analytics team to mentor analysts and improve analytics engineering as a practice across all ER analytics (query development, extending data models, software development practices, PowerBI data modelling governance, ML Ops). Contribute to continuously clarifying, simplifying, and otherwise improving the conceptual foundations of ER Analytics data models; develop and maintain conceptual data model artifacts including readme level documentation, model diagrams, prototypes, change notices, etc. Collaborate with engineering team, analysts, and business users to implement new ELT pipelines, data infrastructure improvements, and integration of new ER and cross IRC data sets and other data consumption assets. Partner with the Associate Director, Analytics Engineering to evaluate data stack improvements. Support other analytics tasks as needed. Required Skills and Competencies (Minimum Criteria) Curiosity to explore complex and ambiguous problems and deliver structured analytics solutions. 4+ years working in the field of data and analytics. At least 2+ years of professional experience manipulating large scale data, using both Python and SQL (nested data structure manipulation, windowing functions, query optimisation, data partitioning techniques). Strong experience with data pipeline management technologies (e.g. Airflow, dbt), dependency checking, schema design, and dimensional data modelling. Strong experience with ML model management tools, such as MLflow. 2+ years of experience with cloud based data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure). Knowledgeable and passionate about the 'modern data stack'. Strong adherence to data ops best practices, including version control (e.g., GitHub), and data testing. Independent worker with strong attention to detail & commitment to a high standard of work product. Ability to communicate technical concepts to non technical stakeholders and translate business needs into technical requirements. Desire to work in a multi cultural environment and collaborate with people from different backgrounds and experiences. Nice to Haves Familiarity with Salesforce or similar CRM technology. Experience owning dbt in a high growth organisation, including deploying capabilities such as utils, packages, tests, snapshots, and incremental tables. Experience in Snowflake and Databricks. Exposure to Microsoft BI tooling: PowerBI, Power Query and DAX/MDX scripting language. Understanding of infrastructure as code (Terraform, CloudFormation) and CI/CD pipelines for ML/AI workflows. Experience with distributed data processing frameworks such as ApacheSpark or ApacheKafka is a plus. Working Environment Standard office working environment. This role may require working remotely full or part time, and part time remote employees may be required to share workspace. Standard Responsibilities Promote and actively participate in initiatives and efforts to build team engagement, inclusion and cohesion in the IRC London office. Foster ongoing learning, honest dialogue and reflection to strengthen safeguarding and to promote IRC values and adherence to IRC policies. Benefits and Pay Range UK: Narrowing the gender gap - flexible hours (when possible), enhanced maternity/adoption leave and pay and gender sensitive security protocols. Fixed term until June2027 with the possibility of going permanent. Pay ranges: UK £54,350 - £65,800; Germany €58,000 - €62,000. Equal Opportunities & EEO Statement IRC UK strives to be an equal opportunities employer. IRC UK is committed to equality of opportunity and to non discrimination for all job applicants and employees, and we seek to ensure we achieve diversity in our workforce regardless of gender, race, religious beliefs, nationality, ethnic/national origin, sexual orientation, age, marital status or disability. IRC UK welcomes applications from all candidates, including under represented groups and refugees who have the right to work in the UK. IRC UK will ensure that individuals with disabilities are provided with reasonable adjustments to participate in the job application and/or interview process, and for essential job functions if appointed to a role. Please note that the recruitment process will involve online screenings and interviews. For assistance, contact the IRC UK HR team.
30/05/2026
Full time
Open to candidates legally eligible to work in Germany, Greece, Poland or Italy. The Purpose of the Role The External Relations (ER) department was created in February 2020 and is comprised of 3 main but complementary functions: Private fundraising, Communications and Policy & Advocacy. The ER department is three years into a 5 year ground breaking and ambitious global strategy that will improve IRC's ability to 'punch above its weight' in private income, advocacy and brand awareness. We are seeking a skilled and versatile Data Engineer to join our dynamic analytics team, which includes data scientists and analysts. In this role, you will leverage your expertise in both analytics engineering and machine learning operations (ML Ops), as well as infrastructure design and deployment, to build, maintain, and optimize the systems and tools that support our data pipelines, machine learning workflows, and business intelligence reporting. Major Responsibilities Support the entire workflow of the ER data model: data pipeline development, ELT performance, timely loading of data sets, and maintenance of data models via the use of monitoring, testing, and automation. Collaborate with analysts, data scientists, and ER stakeholders to understand the opportunities to develop well defined, integrated, production quality, and re usable data models in SQL using dbt, ensuring data quality. Collaborate with data scientists to build and automate end to end ML pipelines, from data preparation to model deployment and monitoring, including designing, implementing, and maintaining MLflow based workflows for model tracking, versioning, and deployment. Apply software engineering practices when creating new data models to ensure data quality & standardisation across our pipelines, and ML and BI tools. Employ comprehensive testing and documentation practices. Drive clear requirements documentation and contribute to code review. Identify and execute internal process improvements, including re designing infrastructure for greater scalability and automating manual processes. Act as a technical expert to the rest of the ER analytics team to mentor analysts and improve analytics engineering as a practice across all ER analytics (query development, extending data models, software development practices, PowerBI data modelling governance, ML Ops). Contribute to continuously clarifying, simplifying, and otherwise improving the conceptual foundations of ER Analytics data models; develop and maintain conceptual data model artifacts including readme level documentation, model diagrams, prototypes, change notices, etc. Collaborate with engineering team, analysts, and business users to implement new ELT pipelines, data infrastructure improvements, and integration of new ER and cross IRC data sets and other data consumption assets. Partner with the Associate Director, Analytics Engineering to evaluate data stack improvements. Support other analytics tasks as needed. Required Skills and Competencies (Minimum Criteria) Curiosity to explore complex and ambiguous problems and deliver structured analytics solutions. 4+ years working in the field of data and analytics. At least 2+ years of professional experience manipulating large scale data, using both Python and SQL (nested data structure manipulation, windowing functions, query optimisation, data partitioning techniques). Strong experience with data pipeline management technologies (e.g. Airflow, dbt), dependency checking, schema design, and dimensional data modelling. Strong experience with ML model management tools, such as MLflow. 2+ years of experience with cloud based data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure). Knowledgeable and passionate about the 'modern data stack'. Strong adherence to data ops best practices, including version control (e.g., GitHub), and data testing. Independent worker with strong attention to detail & commitment to a high standard of work product. Ability to communicate technical concepts to non technical stakeholders and translate business needs into technical requirements. Desire to work in a multi cultural environment and collaborate with people from different backgrounds and experiences. Nice to Haves Familiarity with Salesforce or similar CRM technology. Experience owning dbt in a high growth organisation, including deploying capabilities such as utils, packages, tests, snapshots, and incremental tables. Experience in Snowflake and Databricks. Exposure to Microsoft BI tooling: PowerBI, Power Query and DAX/MDX scripting language. Understanding of infrastructure as code (Terraform, CloudFormation) and CI/CD pipelines for ML/AI workflows. Experience with distributed data processing frameworks such as ApacheSpark or ApacheKafka is a plus. Working Environment Standard office working environment. This role may require working remotely full or part time, and part time remote employees may be required to share workspace. Standard Responsibilities Promote and actively participate in initiatives and efforts to build team engagement, inclusion and cohesion in the IRC London office. Foster ongoing learning, honest dialogue and reflection to strengthen safeguarding and to promote IRC values and adherence to IRC policies. Benefits and Pay Range UK: Narrowing the gender gap - flexible hours (when possible), enhanced maternity/adoption leave and pay and gender sensitive security protocols. Fixed term until June2027 with the possibility of going permanent. Pay ranges: UK £54,350 - £65,800; Germany €58,000 - €62,000. Equal Opportunities & EEO Statement IRC UK strives to be an equal opportunities employer. IRC UK is committed to equality of opportunity and to non discrimination for all job applicants and employees, and we seek to ensure we achieve diversity in our workforce regardless of gender, race, religious beliefs, nationality, ethnic/national origin, sexual orientation, age, marital status or disability. IRC UK welcomes applications from all candidates, including under represented groups and refugees who have the right to work in the UK. IRC UK will ensure that individuals with disabilities are provided with reasonable adjustments to participate in the job application and/or interview process, and for essential job functions if appointed to a role. Please note that the recruitment process will involve online screenings and interviews. For assistance, contact the IRC UK HR team.
Independent End-Point Assessor - Systems Engineer (Level 7) About Pearson Pearson is the world's leading learning company, with 35,000 employees in more than 70 countries working to help people of all ages to make measurable progress in their lives through learning. We put the apprentice at the centre of everything we do, because wherever learning flourishes, so do people. Find out more about how we can help you and your learners at . Overview of the independent end-point assessor role: The Government has introduced a requirement that all apprenticeships contain an end-point assessment (EPA) which is a holistic assessment of the Knowledge, Skills and Behaviour (KSBs) that have been learnt throughout the apprenticeship. This is to make sure that apprentices meet the rigorous standard set by employers and are fully competent in the relevant occupation. Pearson must provide employers with the confidence that completing an apprenticeship means an individual is fully job-ready and that all apprentices, following the same standard, are assessed consistently, regardless of where they are undertaking their apprenticeship or who they are doing it with. An independent EPA means that those making a decision on the competency of the apprentice have nothing to gain from the outcome of the assessment. To maintain independence within the scope of this EPA, an Independent Employer Assessor can only undertake end-point assessments of apprentices, with whom they have no conflict of interest. This means they must be independent of the registered apprenticeship training provider at which the apprentice completed their on-programme element and must not have been involved in the on-programme training, assessment, or line management of such apprentices. The end-point assessments will be conducted on dates agreed with employers and/or providers, if appropriate. Independent Employer Assessors will record and submit the EPA outcomes, with clear justifications for the grading decisions. EPA activities will be quality assured by Pearson quality assurance representatives. Independent Employer Assessors for this EPA will be 'expert' level systems engineers and will be trained, standardised and approved to operate as Independent Employer Assessors. Independent Employer Assessors will chair the EPA panels and provide assessment, reviews and feedback, to ensure that the apprentice has achieved the required standard. Independent Employer Assessors will undertake EPAs in line with the associated apprenticeship assessment plan, and the materials provided by Pearson. Please see the below Key Accountabilities and Person Specification sections for further details. Key Accountabilities: The Independent Employer Assessor will: Take part in regular training and standardisation activities, associated with the role of Independent Employer Assessor for this EPA Maintain and provide evidence of ongoing, relevant Continuous Professional Development (CPD) Assess the performance of candidates in accordance with published assessment and grading criteria and procedures, ensuring overall standards are maintained Act as chair of the Synoptic EPA panel Make final judgement when all panel members are not in agreement (Independent Employer Assessor has Veto power) Notify Pearson of the outcome of the assessment (when Pearson's quality assurance representative is not present at the EPA) Follow the protocols set out in Pearson's specifications, assessment materials and quality assurance protocols, relating to the EPAs Maintain service-level agreements with regards to responding to EPA planning, operational activities, reports and submissions of assessment outcomes Report all risks and issues encountered during the end-point assessment to Pearson, including any suspected malpractice/maladministration Ensure all EPA reports and assessment evidence are high quality and recorded accurately Support Pearson, if necessary, with any appeals from apprentices, regarding assessment decisions Raise any conflicts of interest, including in relation to the independence of assessment Ensure that any personal actions are completed, as required by Pearson Contribute to the continuous improvement of Pearson's end-point assessment activities Contribute to the external quality assurance activities undertaken by the Chartered Institute of Logistics and Transport (CILT) Person Specification Background and Experience (essential): Experience of complying with quality assurance/regulatory requirements Evidence of commitment to maintaining CPD, in line with new apprenticeship requirements and the EPA specialism Willing to travel to employer locations for face-to-face practical assessments Minimum of two working days during the week will be required for EPA role. Our customers require our IEAs to have security clearance due to the level of confidential information that is discussed during the EPA assessments. Essential (others): Only UK based candidates will be considered for this role due to requirements Background and Experience (desirable): Individual membership of INCOSE UK To hold, or be working towards an internal quality assurance qualification Knowledge of prevent & safeguarding Skills & Knowledge (Essential): Excellent written, verbal and interpersonal skills, including the ability to effectively respond to conflicts Flexibility to understand and respond to the individual needs and circumstances of employers/apprentices Sufficient and relevant technical knowledge of: Health and Safety requirements in the workplace Industry structure and processes Relevant legal and regulatory frameworks a range of products and services offered within the industry systems, tools, equipment, machinery and processes used within relevant roles In-depth knowledge of the associated apprenticeship standard, assessment plan, specification, assessment instruments and recording tools Ability to assess, free from bias Ability to assess and report risks Ability to meet deadlines Other requirements: Any applicant undertaking this role will be expected to: Have personal IT equipment capable of running Pearson required software Have a suitable broadband connection, Microphone, Headphones and a webcam Have a personal and secure email account Have a postal address in the United Kingdom or Republic of Ireland, Guernsey, Jersey Isle of Man Have the right to work in the UK Allow additional time for travel, when making EPA arrangement Application Information We have a number of opportunities available for teaching professionals to join our growing teams of examiners, moderators and verifiers.
30/05/2026
Full time
Independent End-Point Assessor - Systems Engineer (Level 7) About Pearson Pearson is the world's leading learning company, with 35,000 employees in more than 70 countries working to help people of all ages to make measurable progress in their lives through learning. We put the apprentice at the centre of everything we do, because wherever learning flourishes, so do people. Find out more about how we can help you and your learners at . Overview of the independent end-point assessor role: The Government has introduced a requirement that all apprenticeships contain an end-point assessment (EPA) which is a holistic assessment of the Knowledge, Skills and Behaviour (KSBs) that have been learnt throughout the apprenticeship. This is to make sure that apprentices meet the rigorous standard set by employers and are fully competent in the relevant occupation. Pearson must provide employers with the confidence that completing an apprenticeship means an individual is fully job-ready and that all apprentices, following the same standard, are assessed consistently, regardless of where they are undertaking their apprenticeship or who they are doing it with. An independent EPA means that those making a decision on the competency of the apprentice have nothing to gain from the outcome of the assessment. To maintain independence within the scope of this EPA, an Independent Employer Assessor can only undertake end-point assessments of apprentices, with whom they have no conflict of interest. This means they must be independent of the registered apprenticeship training provider at which the apprentice completed their on-programme element and must not have been involved in the on-programme training, assessment, or line management of such apprentices. The end-point assessments will be conducted on dates agreed with employers and/or providers, if appropriate. Independent Employer Assessors will record and submit the EPA outcomes, with clear justifications for the grading decisions. EPA activities will be quality assured by Pearson quality assurance representatives. Independent Employer Assessors for this EPA will be 'expert' level systems engineers and will be trained, standardised and approved to operate as Independent Employer Assessors. Independent Employer Assessors will chair the EPA panels and provide assessment, reviews and feedback, to ensure that the apprentice has achieved the required standard. Independent Employer Assessors will undertake EPAs in line with the associated apprenticeship assessment plan, and the materials provided by Pearson. Please see the below Key Accountabilities and Person Specification sections for further details. Key Accountabilities: The Independent Employer Assessor will: Take part in regular training and standardisation activities, associated with the role of Independent Employer Assessor for this EPA Maintain and provide evidence of ongoing, relevant Continuous Professional Development (CPD) Assess the performance of candidates in accordance with published assessment and grading criteria and procedures, ensuring overall standards are maintained Act as chair of the Synoptic EPA panel Make final judgement when all panel members are not in agreement (Independent Employer Assessor has Veto power) Notify Pearson of the outcome of the assessment (when Pearson's quality assurance representative is not present at the EPA) Follow the protocols set out in Pearson's specifications, assessment materials and quality assurance protocols, relating to the EPAs Maintain service-level agreements with regards to responding to EPA planning, operational activities, reports and submissions of assessment outcomes Report all risks and issues encountered during the end-point assessment to Pearson, including any suspected malpractice/maladministration Ensure all EPA reports and assessment evidence are high quality and recorded accurately Support Pearson, if necessary, with any appeals from apprentices, regarding assessment decisions Raise any conflicts of interest, including in relation to the independence of assessment Ensure that any personal actions are completed, as required by Pearson Contribute to the continuous improvement of Pearson's end-point assessment activities Contribute to the external quality assurance activities undertaken by the Chartered Institute of Logistics and Transport (CILT) Person Specification Background and Experience (essential): Experience of complying with quality assurance/regulatory requirements Evidence of commitment to maintaining CPD, in line with new apprenticeship requirements and the EPA specialism Willing to travel to employer locations for face-to-face practical assessments Minimum of two working days during the week will be required for EPA role. Our customers require our IEAs to have security clearance due to the level of confidential information that is discussed during the EPA assessments. Essential (others): Only UK based candidates will be considered for this role due to requirements Background and Experience (desirable): Individual membership of INCOSE UK To hold, or be working towards an internal quality assurance qualification Knowledge of prevent & safeguarding Skills & Knowledge (Essential): Excellent written, verbal and interpersonal skills, including the ability to effectively respond to conflicts Flexibility to understand and respond to the individual needs and circumstances of employers/apprentices Sufficient and relevant technical knowledge of: Health and Safety requirements in the workplace Industry structure and processes Relevant legal and regulatory frameworks a range of products and services offered within the industry systems, tools, equipment, machinery and processes used within relevant roles In-depth knowledge of the associated apprenticeship standard, assessment plan, specification, assessment instruments and recording tools Ability to assess, free from bias Ability to assess and report risks Ability to meet deadlines Other requirements: Any applicant undertaking this role will be expected to: Have personal IT equipment capable of running Pearson required software Have a suitable broadband connection, Microphone, Headphones and a webcam Have a personal and secure email account Have a postal address in the United Kingdom or Republic of Ireland, Guernsey, Jersey Isle of Man Have the right to work in the UK Allow additional time for travel, when making EPA arrangement Application Information We have a number of opportunities available for teaching professionals to join our growing teams of examiners, moderators and verifiers.
Consultant, AI Engineer TC FS 1 Location: London Other locations: Primary Location Only Salary: Competitive Date: 9 Apr 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title: - Forward Deployed Engineer EY Grade: Consultant (UK) Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) - Hybrid working with client-site travel as required. Contract: Permanent, full-time Why EY EY is investing in engineering-led AI at scale. EY has been selected for the inaugural Frontier Firm AI Initiative - a collaboration between Microsoft and Harvard's Digital Data Design Institute - recognising EY's leadership in shaping enterprise-grade human-AI operating models. In parallel, EY is expanding its collaboration with OpenAI and Microsoft, bringing advanced AI capabilities to clients through Microsoft's secure Azure OpenAI Service. Joining this team means being part of a growing engineering capability focused on building production-grade AI systems for major organisations across sectors. The opportunity Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will sit at the intersection of software engineering, product thinking, and client delivery, working within a squad to build real AI-powered solutions. You will collaborate with engineers, designers and client teams to turn complex problems into reliable systems. In this consultant role within the Forward Deployed Engineering team, you will develop foundational AI engineering and product skills within a delivery squad. You will learn how to design, build and integrate LLM/RAG features, contribute to discovery and user stories, and follow EY standards for quality, security and documentation while supporting demos and adoption. What you'll do Client-facing engineering & delivery Support discovery workshops by capturing requirements and helping translate them into user stories and acceptance criteria. Support demos, show and tells and feedback cycles; prioritise fixes and enhancements with the squad. Work effectively in diverse, multidisciplinary teams and produce client-ready artefacts to agreed timelines. Solution design & implementation Build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code. Follow EY reference architectures, security patterns and evaluation baselines, contributing to documentation and reusable accelerators. Product mindset & continuous improvement Contribute to documentation and reusable components/accelerators that help teams deliver consistently. Learn field lessons (what works in client environments) and feed that back through the squad's delivery routines and artefacts. What we're looking for Essential skills & experience Software engineering fundamentals (algorithms, data structures, APIs, microservice basics). Programming in Python and/or TypeScript; exposure to async patterns, testing, and version control (Git). LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails. Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals. Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure. Understanding of responsible AI principles, privacy and basic model risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR). Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams. Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools. Nice to have Familiarity with ML concepts (regression, classification, clustering) and deep learning frameworks (PyTorch/TensorFlow). Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e.g., Event Hub/Kafka). Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI 102) - in progress or planned. Azure Data Scientist Associate - in progress or planned. AWS Machine Learning Specialty or Google Professional ML Engineer - welcome. Databricks and Kubernetes (CKA/CKAD) - welcome for future development. How you work You're comfortable being hands-on: coding, debugging, deploying, and iterating with users. You care about quality-but you're pragmatic about what's "good enough" to ship and improve safely, and you're eager to learn from feedback. You can communicate clearly with both technical and non-technical stakeholders as you build confidence in client settings. What we offer High-impact work with leading organisations across sectors, within a collaborative engineering-led AI team. You will benefit from: A structured FDE Academy and cohort learning experience Opportunities to participate in hackathons, innovation challenges and engineering showcases Learning and certification support across cloud and AI technologies Competitive compensation and benefits Flexible hybrid working arrangements depending on client needs Travel & Working Model Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location. Inclusion and accessibility EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
27/05/2026
Full time
Consultant, AI Engineer TC FS 1 Location: London Other locations: Primary Location Only Salary: Competitive Date: 9 Apr 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title: - Forward Deployed Engineer EY Grade: Consultant (UK) Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) - Hybrid working with client-site travel as required. Contract: Permanent, full-time Why EY EY is investing in engineering-led AI at scale. EY has been selected for the inaugural Frontier Firm AI Initiative - a collaboration between Microsoft and Harvard's Digital Data Design Institute - recognising EY's leadership in shaping enterprise-grade human-AI operating models. In parallel, EY is expanding its collaboration with OpenAI and Microsoft, bringing advanced AI capabilities to clients through Microsoft's secure Azure OpenAI Service. Joining this team means being part of a growing engineering capability focused on building production-grade AI systems for major organisations across sectors. The opportunity Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will sit at the intersection of software engineering, product thinking, and client delivery, working within a squad to build real AI-powered solutions. You will collaborate with engineers, designers and client teams to turn complex problems into reliable systems. In this consultant role within the Forward Deployed Engineering team, you will develop foundational AI engineering and product skills within a delivery squad. You will learn how to design, build and integrate LLM/RAG features, contribute to discovery and user stories, and follow EY standards for quality, security and documentation while supporting demos and adoption. What you'll do Client-facing engineering & delivery Support discovery workshops by capturing requirements and helping translate them into user stories and acceptance criteria. Support demos, show and tells and feedback cycles; prioritise fixes and enhancements with the squad. Work effectively in diverse, multidisciplinary teams and produce client-ready artefacts to agreed timelines. Solution design & implementation Build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code. Follow EY reference architectures, security patterns and evaluation baselines, contributing to documentation and reusable accelerators. Product mindset & continuous improvement Contribute to documentation and reusable components/accelerators that help teams deliver consistently. Learn field lessons (what works in client environments) and feed that back through the squad's delivery routines and artefacts. What we're looking for Essential skills & experience Software engineering fundamentals (algorithms, data structures, APIs, microservice basics). Programming in Python and/or TypeScript; exposure to async patterns, testing, and version control (Git). LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails. Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals. Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure. Understanding of responsible AI principles, privacy and basic model risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR). Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams. Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools. Nice to have Familiarity with ML concepts (regression, classification, clustering) and deep learning frameworks (PyTorch/TensorFlow). Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e.g., Event Hub/Kafka). Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI 102) - in progress or planned. Azure Data Scientist Associate - in progress or planned. AWS Machine Learning Specialty or Google Professional ML Engineer - welcome. Databricks and Kubernetes (CKA/CKAD) - welcome for future development. How you work You're comfortable being hands-on: coding, debugging, deploying, and iterating with users. You care about quality-but you're pragmatic about what's "good enough" to ship and improve safely, and you're eager to learn from feedback. You can communicate clearly with both technical and non-technical stakeholders as you build confidence in client settings. What we offer High-impact work with leading organisations across sectors, within a collaborative engineering-led AI team. You will benefit from: A structured FDE Academy and cohort learning experience Opportunities to participate in hackathons, innovation challenges and engineering showcases Learning and certification support across cloud and AI technologies Competitive compensation and benefits Flexible hybrid working arrangements depending on client needs Travel & Working Model Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location. Inclusion and accessibility EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Own Research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing High-performance computing (CPU / GPU clusters) Parallelised / distributed training for large / foundation models Ideally >2 years of experience in a data-driven role in a professional setting, with exposure to: Scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus) Distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton) Cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications C/C++ for computer vision, geometry processing, or scientific computing Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Container-isation and orchestration (Docker, Kubernetes, Slurm) Writing pipelines and experiment environments, including running experiments in pipelines in a systematic way What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
27/05/2026
Full time
Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Own Research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing High-performance computing (CPU / GPU clusters) Parallelised / distributed training for large / foundation models Ideally >2 years of experience in a data-driven role in a professional setting, with exposure to: Scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus) Distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton) Cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications C/C++ for computer vision, geometry processing, or scientific computing Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Container-isation and orchestration (Docker, Kubernetes, Slurm) Writing pipelines and experiment environments, including running experiments in pipelines in a systematic way What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Staff Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape Research group strategy and culture in a significant way, especially in domains of expertise. Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. Define necessary profiles to execute this strategy. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. Own Research work-streams at a high-level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. The below activities in particular. Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: scientific computing; high-performance computing (CPU / GPU clusters); parallelised / distributed training for large / foundation models. 4 years of experience in a professional industry setting, where you have been instrumental in most of the below: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); employing cloud computing (on hyper scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; building or using C/C++ for computer vision, geometry processing, or scientific computing; following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container ising and orchestrating compute tasks (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
27/05/2026
Full time
Staff Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape Research group strategy and culture in a significant way, especially in domains of expertise. Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. Define necessary profiles to execute this strategy. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. Own Research work-streams at a high-level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. The below activities in particular. Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: scientific computing; high-performance computing (CPU / GPU clusters); parallelised / distributed training for large / foundation models. 4 years of experience in a professional industry setting, where you have been instrumental in most of the below: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); employing cloud computing (on hyper scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; building or using C/C++ for computer vision, geometry processing, or scientific computing; following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container ising and orchestrating compute tasks (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Consultant, AI Engineer TC FS 1 Location: London Other locations: Primary Location Only Salary: Competitive Date: 9 Apr 2026 Job description Requisition ID: Job Title: Forward Deployed Engineer EY Grade: Consultant (UK) Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) - Hybrid working with client-site travel as required. Contract: Permanent, full time The opportunity Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will sit at the intersection of software engineering, product thinking, and client delivery, working within a squad to build real AI powered solutions. You will collaborate with engineers, designers and client teams to turn complex problems into reliable systems. In this consultant role within the Forward Deployed Engineering team, you will develop foundational AI engineering and product skills within a delivery squad. You will learn how to design, build and integrate LLM/RAG features, contribute to discovery and user stories, and follow EY standards for quality, security and documentation while supporting demos and adoption. What you'll do Client facing engineering & delivery Support discovery workshops by capturing requirements and helping translate them into user stories and acceptance criteria. Support demos, show and tells and feedback cycles; prioritise fixes and enhancements with the squad. Work effectively in diverse, multidisciplinary teams and produce client ready artefacts to agreed timelines. Solution design & implementation Build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code. Follow EY reference architectures, security patterns and evaluation baselines, contributing to documentation and reusable accelerators. Product mindset & continuous improvement Contribute to documentation and reusable components/accelerators that help teams deliver consistently. Learn field lessons (what works in client environments) and feed that back through the squad's delivery routines and artefacts. What we're looking for Essential skills & experience Software engineering fundamentals (algorithms, data structures, APIs, microservice basics). Programming in Python and/or TypeScript; exposure to async patterns, testing, and version control (Git). LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails. Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals. Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure. Understanding of responsible AI principles, privacy and basic model risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR). Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams. Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools. Nice to have Familiarity with ML concepts (regression, classification, clustering) and deep learning frameworks (PyTorch/TensorFlow). Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e.g., Event Hub/Kafka). Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI 102) - in progress or planned. Azure Data Scientist Associate - in progress or planned. AWS Machine Learning Specialty or Google Professional ML Engineer - welcome. Databricks and Kubernetes (CKA/CKAD) - welcome for future development. How you work You're comfortable being hands on: coding, debugging, deploying, and iterating with users. You care about quality-but you're pragmatic about what's "good enough" to ship and improve safely, and you're eager to learn from feedback. You can communicate clearly with both technical and non technical stakeholders as you build confidence in client settings. What we offer High impact work with leading organisations across sectors, within a collaborative engineering led AI team. You will benefit from: A structured FDE Academy and cohort learning experience Opportunities to participate in hackathons, innovation challenges and engineering showcases Learning and certification support across cloud and AI technologies Competitive compensation and benefits Flexible hybrid working arrangements depending on client needs Travel & Working Model Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location. Inclusion and accessibility EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know.
26/05/2026
Full time
Consultant, AI Engineer TC FS 1 Location: London Other locations: Primary Location Only Salary: Competitive Date: 9 Apr 2026 Job description Requisition ID: Job Title: Forward Deployed Engineer EY Grade: Consultant (UK) Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) - Hybrid working with client-site travel as required. Contract: Permanent, full time The opportunity Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will sit at the intersection of software engineering, product thinking, and client delivery, working within a squad to build real AI powered solutions. You will collaborate with engineers, designers and client teams to turn complex problems into reliable systems. In this consultant role within the Forward Deployed Engineering team, you will develop foundational AI engineering and product skills within a delivery squad. You will learn how to design, build and integrate LLM/RAG features, contribute to discovery and user stories, and follow EY standards for quality, security and documentation while supporting demos and adoption. What you'll do Client facing engineering & delivery Support discovery workshops by capturing requirements and helping translate them into user stories and acceptance criteria. Support demos, show and tells and feedback cycles; prioritise fixes and enhancements with the squad. Work effectively in diverse, multidisciplinary teams and produce client ready artefacts to agreed timelines. Solution design & implementation Build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code. Follow EY reference architectures, security patterns and evaluation baselines, contributing to documentation and reusable accelerators. Product mindset & continuous improvement Contribute to documentation and reusable components/accelerators that help teams deliver consistently. Learn field lessons (what works in client environments) and feed that back through the squad's delivery routines and artefacts. What we're looking for Essential skills & experience Software engineering fundamentals (algorithms, data structures, APIs, microservice basics). Programming in Python and/or TypeScript; exposure to async patterns, testing, and version control (Git). LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails. Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals. Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure. Understanding of responsible AI principles, privacy and basic model risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR). Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams. Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools. Nice to have Familiarity with ML concepts (regression, classification, clustering) and deep learning frameworks (PyTorch/TensorFlow). Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e.g., Event Hub/Kafka). Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI 102) - in progress or planned. Azure Data Scientist Associate - in progress or planned. AWS Machine Learning Specialty or Google Professional ML Engineer - welcome. Databricks and Kubernetes (CKA/CKAD) - welcome for future development. How you work You're comfortable being hands on: coding, debugging, deploying, and iterating with users. You care about quality-but you're pragmatic about what's "good enough" to ship and improve safely, and you're eager to learn from feedback. You can communicate clearly with both technical and non technical stakeholders as you build confidence in client settings. What we offer High impact work with leading organisations across sectors, within a collaborative engineering led AI team. You will benefit from: A structured FDE Academy and cohort learning experience Opportunities to participate in hackathons, innovation challenges and engineering showcases Learning and certification support across cloud and AI technologies Competitive compensation and benefits Flexible hybrid working arrangements depending on client needs Travel & Working Model Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location. Inclusion and accessibility EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
25/05/2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
25/05/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
The role We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we're over 100 and continuing to accelerate. What you'll do Take end-to-end ownership of your projects, from product, design and architectural decisions through to deployment, monitoring and measuring impact on users Work across the full stack, covering everything from deployment to styling Take initiative, be proactive in problem-solving, and continuously seek improvements Tackle complex domains and immense scale with simple, elegant solutions Collaborate with a lean, high-trust team to solve challenging problems together Who we're looking for A builder: You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles Impact-driven: You want your work to have a tangible outcome for people. You're not satisfied building products that don't see the light of day or move a number by a tenth of a percent Comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have the autonomy to make decisions as you go A team player: You understand that being a member of a high-performing team means contributing your best work while helping others contribute theirs Experience requirements Personally developed and maintained multiple systems from scratch, or significantly contributed to major changes to existing systems Strong understanding of the trade-offs involved in building reliable, performant software at speed Experience with Python and/or TypeScript (prior experience appreciated but not required - we are technology agnostic and welcome those open to learning) Familiarity with any of the following is a bonus: React, Kubernetes, GCP, PyTorch, CUDA, Ray Tech stack We are technology agnostic at Encord and not looking for experience across all of these - as long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine Learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and equity in a high-growth start-up Strong in person culture - most of the team works from our London office 4+ days/week 25 days annual leave + UK public holidays Annual learning & development budget Travel for customer visits, events, and conferences across the UK and Europe Company lunches twice a week Monthly socials & bi-annual team offsites
24/05/2026
Full time
The role We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we're over 100 and continuing to accelerate. What you'll do Take end-to-end ownership of your projects, from product, design and architectural decisions through to deployment, monitoring and measuring impact on users Work across the full stack, covering everything from deployment to styling Take initiative, be proactive in problem-solving, and continuously seek improvements Tackle complex domains and immense scale with simple, elegant solutions Collaborate with a lean, high-trust team to solve challenging problems together Who we're looking for A builder: You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles Impact-driven: You want your work to have a tangible outcome for people. You're not satisfied building products that don't see the light of day or move a number by a tenth of a percent Comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have the autonomy to make decisions as you go A team player: You understand that being a member of a high-performing team means contributing your best work while helping others contribute theirs Experience requirements Personally developed and maintained multiple systems from scratch, or significantly contributed to major changes to existing systems Strong understanding of the trade-offs involved in building reliable, performant software at speed Experience with Python and/or TypeScript (prior experience appreciated but not required - we are technology agnostic and welcome those open to learning) Familiarity with any of the following is a bonus: React, Kubernetes, GCP, PyTorch, CUDA, Ray Tech stack We are technology agnostic at Encord and not looking for experience across all of these - as long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine Learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and equity in a high-growth start-up Strong in person culture - most of the team works from our London office 4+ days/week 25 days annual leave + UK public holidays Annual learning & development budget Travel for customer visits, events, and conferences across the UK and Europe Company lunches twice a week Monthly socials & bi-annual team offsites
Associate AI Engineer page is loaded Associate AI Engineerlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R4726The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview This is one of several a newly created opportunities across our business functions, that will sit within our Group Technology function as an Associate AI Engineer and be seconded out to various functions across the business including but not limited to Group Internal Audit, Operations and Human Resources.TP ICAP is a leading global provider of market infrastructure and data solutions, specialising in financial services. With a strong commitment to innovation, we help clients navigate the complexities of global markets by offering advanced technology solutions that enhance decision-making and drive growth. As we continue to expand our technological capabilities, we have established a dedicated AI & Innovation Lab to develop and deliver transformative AI-based solutions across the organisation. Join us in shaping our future through cutting-edge artificial intelligence technology.Design, develop and maintain advanced AI services for the business, working as a dedicated spoke of the central AI & Innovation Lab. Collaborate with key stakeholders, the central AI team, and business partners to deliver impactful AI-driven solutions that optimise internal audit processes. While you will have a dotted line in to the function you are seconded in to, you will maintain a direct reporting line and relationship with the AI & Innovation Lab, actively participating in lab initiatives, cross-spoke collaboration, and the continuous evolution of TP ICAP's AI capabilities. A focus on technical excellence to ensure AI is delivered in a robust, scalable manner and that technical best practices are maintained. Responsibilities Architect and design innovative AI solutions tailored to internal audit challenges, transforming how TP ICAP manages the internal audit lifecycle through AI-driven solutions Build and deploy cutting-edge AI applications for internal audit use cases, ensuring that solutions are high-performing, scalable, and optimised for real-time internal audit operations Translate stakeholder requirements into technical solutions, ensuring alignment with both business objectives and the technical standards established by the central AI & Innovation Lab Scale our AI agent solutions while maintaining strict data stewardship and compliance standards Co-develop and enhance the shared AI service platform and frameworks with the AI & Innovation Lab, contributing internal audit insights and requirements while customising solutions for domain-specific requirements Provide ongoing support and maintenance for deployed internal audit AI solutions, ensuring smooth operation and quick resolution of any issues affecting internal audit processes Present AI project updates and key developments to key leadership and business stakeholders, demonstrating value and ensuring alignment with the firm's strategy Experience / Competences Essential Expertise in AI technologies, including Generative AI and Machine Learning Hands-on experience working with Large Language Models (LLMs) Experience with Python in AI/ML frameworks and libraries Track record in the architecture and design of domain-specific solutions with expertise in building scalable and robust services in production environments Experience in managing tech priorities within an Agile backlog, resolving dependencies, and ensuring alignment with both objectives and central AI team standards Evidence of presenting complex technical concepts to business stakeholders with varying technical backgroundsDesired AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI-driven back-end services Expertise in back-end development, with experience in building and deploying scalable APIs and microservices to support AI solutions Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full-stack applications, ensuring data protection and privacy across AI solutions We are looking for a proactive, adaptable, and detail-oriented individual who thrives in fast-paced environments and embraces challenges. The ideal candidate will be open to innovative ideas, with a strong analytical mindset and problem-solving skills. They will demonstrate excellent communication, tailoring their style to suit different audiences, including both technical and internal audit professionals, and engage confidently while respecting professional and company values. With a keen eye for detail, they will stay organised, remain calm under pressure, and consistently seek opportunities for improvement while maintaining strong collaboration with the central AI & Innovation Lab. Band & level : Professional, 4 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating
22/05/2026
Full time
Associate AI Engineer page is loaded Associate AI Engineerlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R4726The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview This is one of several a newly created opportunities across our business functions, that will sit within our Group Technology function as an Associate AI Engineer and be seconded out to various functions across the business including but not limited to Group Internal Audit, Operations and Human Resources.TP ICAP is a leading global provider of market infrastructure and data solutions, specialising in financial services. With a strong commitment to innovation, we help clients navigate the complexities of global markets by offering advanced technology solutions that enhance decision-making and drive growth. As we continue to expand our technological capabilities, we have established a dedicated AI & Innovation Lab to develop and deliver transformative AI-based solutions across the organisation. Join us in shaping our future through cutting-edge artificial intelligence technology.Design, develop and maintain advanced AI services for the business, working as a dedicated spoke of the central AI & Innovation Lab. Collaborate with key stakeholders, the central AI team, and business partners to deliver impactful AI-driven solutions that optimise internal audit processes. While you will have a dotted line in to the function you are seconded in to, you will maintain a direct reporting line and relationship with the AI & Innovation Lab, actively participating in lab initiatives, cross-spoke collaboration, and the continuous evolution of TP ICAP's AI capabilities. A focus on technical excellence to ensure AI is delivered in a robust, scalable manner and that technical best practices are maintained. Responsibilities Architect and design innovative AI solutions tailored to internal audit challenges, transforming how TP ICAP manages the internal audit lifecycle through AI-driven solutions Build and deploy cutting-edge AI applications for internal audit use cases, ensuring that solutions are high-performing, scalable, and optimised for real-time internal audit operations Translate stakeholder requirements into technical solutions, ensuring alignment with both business objectives and the technical standards established by the central AI & Innovation Lab Scale our AI agent solutions while maintaining strict data stewardship and compliance standards Co-develop and enhance the shared AI service platform and frameworks with the AI & Innovation Lab, contributing internal audit insights and requirements while customising solutions for domain-specific requirements Provide ongoing support and maintenance for deployed internal audit AI solutions, ensuring smooth operation and quick resolution of any issues affecting internal audit processes Present AI project updates and key developments to key leadership and business stakeholders, demonstrating value and ensuring alignment with the firm's strategy Experience / Competences Essential Expertise in AI technologies, including Generative AI and Machine Learning Hands-on experience working with Large Language Models (LLMs) Experience with Python in AI/ML frameworks and libraries Track record in the architecture and design of domain-specific solutions with expertise in building scalable and robust services in production environments Experience in managing tech priorities within an Agile backlog, resolving dependencies, and ensuring alignment with both objectives and central AI team standards Evidence of presenting complex technical concepts to business stakeholders with varying technical backgroundsDesired AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI-driven back-end services Expertise in back-end development, with experience in building and deploying scalable APIs and microservices to support AI solutions Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full-stack applications, ensuring data protection and privacy across AI solutions We are looking for a proactive, adaptable, and detail-oriented individual who thrives in fast-paced environments and embraces challenges. The ideal candidate will be open to innovative ideas, with a strong analytical mindset and problem-solving skills. They will demonstrate excellent communication, tailoring their style to suit different audiences, including both technical and internal audit professionals, and engage confidently while respecting professional and company values. With a keen eye for detail, they will stay organised, remain calm under pressure, and consistently seek opportunities for improvement while maintaining strong collaboration with the central AI & Innovation Lab. Band & level : Professional, 4 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating
Location London Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud based AI platforms. Develop and deploy end to end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, and architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Storytelling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Azure AI Engineer Associate or Data Scientist Associate
22/05/2026
Full time
Location London Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud based AI platforms. Develop and deploy end to end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, and architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Storytelling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Azure AI Engineer Associate or Data Scientist Associate
White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business.At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office.We have a hybrid working model which gives you flexibility to work from our office and from home.We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversityCapital One is committed to diversity in the workplace.If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
17/05/2026
Full time
White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business.At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office.We have a hybrid working model which gives you flexibility to work from our office and from home.We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversityCapital One is committed to diversity in the workplace.If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview This is a graduate-level opportunity within Brokerage Technology to help build and maintain the back-end services and APIs that power Brokerage Pricing. Working alongside senior engineers, you will contribute .NET C# code on a cloud-based distributed architecture on AWS, learn to automate deployments through Infrastructure as Code, and make day-to-day use of AI-assisted development tools. You will collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into reliable software, and grow your skills across the stack as part of a modernising tech landscape. Role Responsibilities Contribute to the design, development and maintenance of back-end services and APIs in .NET C# on a cloud-based distributed architecture, under the guidance of senior engineers. Write clean, well-tested code, with a focus on unit testing and consistent code quality. Help implement and maintain Infrastructure as Code using AWS CDK (Python preferred) to deploy and manage cloud resources. Make effective, responsible use of AI coding assistants to accelerate development, review and documentation tasks. Collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into working software. Participate in agile ceremonies and adopt an agile mindset. Investigate and help resolve issues promptly, escalating where appropriate to minimise disruption to business operations. Support the modernisation and simplification of the tech landscape. Keep documentation of code, processes and system configurations clear and up to date. Actively seek feedback and invest in learning across .NET, AWS and applied AI to grow into a well-rounded engineer. Experience / Competences Essential A degree in Computer Science, Software Engineering, Mathematics or a closely related STEM discipline is required; a Master's degree is strongly preferred. Solid foundations in object-oriented programming, data structures and algorithms, demonstrated through academic work, internships, placements or personal projects. Working knowledge of a modern back-end language such as .NET C#, Java or similar, and a willingness to focus on .NET C#. Understanding of unit testing principles and the value of automated testing. Familiarity with cloud concepts, ideally AWS, and an interest in Infrastructure as Code (for example AWS CDK with Python). Comfortable using Git for version control. Clear written and verbal communication and an ability to collaborate effectively in a team. Curious, detail-oriented and able to stay focused when tasks get complex.Desired Exposure to AI or machine learning through academic projects, coursework or dissertations, for example working with LLMs, Generative AI or classical ML techniques. Hands-on use of AI coding assistants (for example GitHub Copilot, Amazon Q Developer or similar). Awareness of AWS AI services such as Bedrock. Exposure to microservices architectures and API design. Experience with containerisation tools such as Docker. Familiarity with relational and/or NoSQL databases, and with ORMs such as Entity Framework. Interest in financial markets or prior exposure to the finance sector through internships or projects. Band & level: Professional, 4 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
11/05/2026
Full time
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview This is a graduate-level opportunity within Brokerage Technology to help build and maintain the back-end services and APIs that power Brokerage Pricing. Working alongside senior engineers, you will contribute .NET C# code on a cloud-based distributed architecture on AWS, learn to automate deployments through Infrastructure as Code, and make day-to-day use of AI-assisted development tools. You will collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into reliable software, and grow your skills across the stack as part of a modernising tech landscape. Role Responsibilities Contribute to the design, development and maintenance of back-end services and APIs in .NET C# on a cloud-based distributed architecture, under the guidance of senior engineers. Write clean, well-tested code, with a focus on unit testing and consistent code quality. Help implement and maintain Infrastructure as Code using AWS CDK (Python preferred) to deploy and manage cloud resources. Make effective, responsible use of AI coding assistants to accelerate development, review and documentation tasks. Collaborate with Business Analysts, QA engineers and Project Managers to turn business requirements into working software. Participate in agile ceremonies and adopt an agile mindset. Investigate and help resolve issues promptly, escalating where appropriate to minimise disruption to business operations. Support the modernisation and simplification of the tech landscape. Keep documentation of code, processes and system configurations clear and up to date. Actively seek feedback and invest in learning across .NET, AWS and applied AI to grow into a well-rounded engineer. Experience / Competences Essential A degree in Computer Science, Software Engineering, Mathematics or a closely related STEM discipline is required; a Master's degree is strongly preferred. Solid foundations in object-oriented programming, data structures and algorithms, demonstrated through academic work, internships, placements or personal projects. Working knowledge of a modern back-end language such as .NET C#, Java or similar, and a willingness to focus on .NET C#. Understanding of unit testing principles and the value of automated testing. Familiarity with cloud concepts, ideally AWS, and an interest in Infrastructure as Code (for example AWS CDK with Python). Comfortable using Git for version control. Clear written and verbal communication and an ability to collaborate effectively in a team. Curious, detail-oriented and able to stay focused when tasks get complex.Desired Exposure to AI or machine learning through academic projects, coursework or dissertations, for example working with LLMs, Generative AI or classical ML techniques. Hands-on use of AI coding assistants (for example GitHub Copilot, Amazon Q Developer or similar). Awareness of AWS AI services such as Bedrock. Exposure to microservices architectures and API design. Experience with containerisation tools such as Docker. Familiarity with relational and/or NoSQL databases, and with ORMs such as Entity Framework. Interest in financial markets or prior exposure to the finance sector through internships or projects. Band & level: Professional, 4 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
End Date Sunday 20 August 2023 Salary Range £45,054 - £50,060 We support agile working - click here for more information on agile working options. Agile Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE: Cloud Data Engineer SALARY: £ 45,054.00 - 67,581 LOCATION(S): Leeds, Bristol, Edinburgh, Manchester or London HOURS: Full-time WORKING PATTERN: Our current work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at one of our offices. About this opportunity Lloyds Banking Group is the UK s largest Digital, Retail and Commercial Bank with a focus on Helping Britain Prosper. We re on the mission to build the bank of the future, and we need your help do it! Continuing our extensive transformation programme, we're redefining what a bank is from the inside out. Our technology, our culture, and our mind-set is changing to craft a true engineering-led organisation in which technology and data are key pillars of our transformation strategy. Want to be part of our journey as a Bank to redefine our technology platforms? Passionate about the power to be unleashed when combining next generation cloud technology with customer data and insight? Want to join a diverse and ambitious team that is building the Bank of the future? If the answer to these questions is yes, we would love to hear from you We are looking to evolve our Data Analytics and AI capability, where we enhance the platform offering to enable the exploitation of data and analytics in the public cloud. This will mean leveraging Google Cloud Platform capabilities, products and services but also involve operating across our multi-cloud environments to ensure the entire breadth of our data user community are being served. Specifically, we re looking for people who have recent practical experience working with a broad set of Google Cloud products & services, including using the Google SDK a firm understanding of Cloud Security certified in GCP, with Associate Cloud Engineer or Professional Data Engineer certification comfortable with Infrastructure as Code using Terraform and CI/CD using both Jenkins and GitHub Actions expertise in data, analytics and machine learning with a view of the broader AI landscape an active interest in new technologies with an awareness of developments and trends within the data and AI space Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it s why we especially welcome applications from under-represented groups. We re disability confident. So if you d like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide -ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies If you re excited by the thought of becoming part of our team, get in touch. We d love to hear from you. Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
16/08/2023
Full time
End Date Sunday 20 August 2023 Salary Range £45,054 - £50,060 We support agile working - click here for more information on agile working options. Agile Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE: Cloud Data Engineer SALARY: £ 45,054.00 - 67,581 LOCATION(S): Leeds, Bristol, Edinburgh, Manchester or London HOURS: Full-time WORKING PATTERN: Our current work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at one of our offices. About this opportunity Lloyds Banking Group is the UK s largest Digital, Retail and Commercial Bank with a focus on Helping Britain Prosper. We re on the mission to build the bank of the future, and we need your help do it! Continuing our extensive transformation programme, we're redefining what a bank is from the inside out. Our technology, our culture, and our mind-set is changing to craft a true engineering-led organisation in which technology and data are key pillars of our transformation strategy. Want to be part of our journey as a Bank to redefine our technology platforms? Passionate about the power to be unleashed when combining next generation cloud technology with customer data and insight? Want to join a diverse and ambitious team that is building the Bank of the future? If the answer to these questions is yes, we would love to hear from you We are looking to evolve our Data Analytics and AI capability, where we enhance the platform offering to enable the exploitation of data and analytics in the public cloud. This will mean leveraging Google Cloud Platform capabilities, products and services but also involve operating across our multi-cloud environments to ensure the entire breadth of our data user community are being served. Specifically, we re looking for people who have recent practical experience working with a broad set of Google Cloud products & services, including using the Google SDK a firm understanding of Cloud Security certified in GCP, with Associate Cloud Engineer or Professional Data Engineer certification comfortable with Infrastructure as Code using Terraform and CI/CD using both Jenkins and GitHub Actions expertise in data, analytics and machine learning with a view of the broader AI landscape an active interest in new technologies with an awareness of developments and trends within the data and AI space Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it s why we especially welcome applications from under-represented groups. We re disability confident. So if you d like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide -ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies If you re excited by the thought of becoming part of our team, get in touch. We d love to hear from you. Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Site Name: UK - London - Brentford, Cambridge MA, Philadelphia Navy Yard, San Francisco, Stevenage, Upper Providence Posted Date: Apr At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AIML Sequence Learning Team applies machine learning and AI methods to DNA and RNA sequence data from large-scale human genetic, functional genomic and single cell experiments. DNA sequence variations are linked to disease via changes in the nature and abundance of protein and RNA gene products. The Sequence Learning group builds models directly from DNA/RNA sequence in addition to other data sources such as chromatin state. Models that operate on a sequence level can infer changes in protein/RNA states and the associated cellular function from sequence alone. This is an exciting methodological advance at the intersection of NLP inspired language models applied to biological data . We're looking for a highly accomplishedAI/ ML Engineer to join our team. Competitive candidates will have a track record of shipping high performing AI/ ML powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across Machine Learning Methods, as well as depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning . Educational or professional background in the biological sciences is a plus; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Experience as a software engineer with intermediate skills in python or C++ Experience with PyTorch , Tensorflow , or other deep learning frameworks Experience across the ML stack Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in computer science Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics) Understanding and application of best practices in Machine Learning Track record of contributing to open source projects Why GSK? Our values andexpectationsareat the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning . Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
21/09/2022
Full time
Site Name: UK - London - Brentford, Cambridge MA, Philadelphia Navy Yard, San Francisco, Stevenage, Upper Providence Posted Date: Apr At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AIML Sequence Learning Team applies machine learning and AI methods to DNA and RNA sequence data from large-scale human genetic, functional genomic and single cell experiments. DNA sequence variations are linked to disease via changes in the nature and abundance of protein and RNA gene products. The Sequence Learning group builds models directly from DNA/RNA sequence in addition to other data sources such as chromatin state. Models that operate on a sequence level can infer changes in protein/RNA states and the associated cellular function from sequence alone. This is an exciting methodological advance at the intersection of NLP inspired language models applied to biological data . We're looking for a highly accomplishedAI/ ML Engineer to join our team. Competitive candidates will have a track record of shipping high performing AI/ ML powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across Machine Learning Methods, as well as depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning . Educational or professional background in the biological sciences is a plus; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Experience as a software engineer with intermediate skills in python or C++ Experience with PyTorch , Tensorflow , or other deep learning frameworks Experience across the ML stack Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in computer science Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics) Understanding and application of best practices in Machine Learning Track record of contributing to open source projects Why GSK? Our values andexpectationsareat the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning . Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
