1,501 to 1,525 of 1,721 Machine Learning Jobs in England

with auth data, payment flows, chargebacks, behavioural signals Transaction Monitoring (AML) Owning system performance. Rule effectiveness, typology coverage, backlog, false positives Working closely with ML models and monitoring frameworks Screening (Sanctions/PEP) Match quality, list coverage, tuning logic, global screening performance Detection Engineering/ML Systems Building monitoring frameworks … typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. Not just models ...

CIO. This role owns the end‐to‐end engineering of analytics capabilities across these offerings— including pricing, risk, derived metrics, and predictive (AI/ML‐driven) analytics— ensuring they are scalable, production‐grade, and aligned to client workflows. The role sits at the intersection of financial domain expertise, large‐scale … distributed systems engineering, and applied AI/ML, with accountability for how analytics products are engineered, productionised, and scaled across LSEG. The role combines product‐centric thinking with deep technical leadership, ensuring analytics capabilities are commercially differentiated, technically robust, and aligned to client needs. Key Responsibilities Strategy, Product & Thought Leadership ...

engineering, consulting, and stakeholder engagement . You’ll lead high-performing teams, guide clients through AI strategy and delivery, and build scalable AI/ML and agentic solutions in production environments. What you’ll be doing: Leading AI delivery across multiple client projects Acting as a trusted advisor to senior … technical & business stakeholders Designing and deploying production-ready AI/ML solutions Driving engineering best practice across MLOps, CI/CD, observability & responsible AI Mentoring engineers and helping grow a high-performing AI capability Working with modern cloud & data platforms including Azure, Databricks, Snowflake etc. What we’re looking ...

engineering, consulting, and stakeholder engagement . You’ll lead high-performing teams, guide clients through AI strategy and delivery, and build scalable AI/ML and agentic solutions in production environments. What you’ll be doing: Leading AI delivery across multiple client projects Acting as a trusted advisor to senior … technical & business stakeholders Designing and deploying production-ready AI/ML solutions Driving engineering best practice across MLOps, CI/CD, observability & responsible AI Mentoring engineers and helping grow a high-performing AI capability Working with modern cloud & data platforms including Azure, Databricks, Snowflake etc. What we’re looking ...

implementations and innovation -Communicate GenAI potential and technical challenges to engineering teams and C-Level executives, leveraging expertise in GPU based compute infrastructure and ML frameworks -Identify cross-industry patterns and trends to accelerate innovation and represent best practices to customers and partners Working with diverse teams across the organization … within short lead times and with minimum of waste. Work to develop and maintain a highly automated Continuous Delivery pipeline. Your skills and experience ML and using GenAI to solve problems Good experience in Python, NodeJS, ReactJS, Java Agentic Framework experience is an added advantage Experience using LLMs, ML algorithms ...

function calling, tool use, long-term memory management, and guardrails. Proficient with integration technologies and protocols (APIs,ReST,HTTPS etc..) Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., MS Copilot, Google Gemini Enterprise, Google Vertex AI, Claude), with experience integrating AI solutions with enterprise … track record to get things done in a matrixed organization and influencing without authority Nice to have - AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). #LI-EN1 #TBdigital ...

massively distributed system our platform comprises, allowing us to move fast without sacrificing quality. About the Role We\'re looking for a Staff ML engineer to own optimisation across our platform. You\'ll be the domain authority on how we use data to make campaigns perform better — from how audiences … server, or comparable platform. You understand the mechanics of how campaigns are priced, paced, and optimised in practice. Strong applied ML and statistical foundations. You can design, evaluate, and iterate on models — and you know when a heuristic beats a neural network. Production ML experience. You\'ve built models that ...

/ML Engineer Location: London (hybrid – 2 days per week in office) Type: Permanent Salary: £65,000 – £80,000 + EMI share options Interview Process: 3 stages We're hiring an AI/ML Engineer for a fast-growing data and AI consultancy working across financial services, private equity, retail … hard start date on an upcoming project, so we're moving quickly. About you At least 2 years of experience in AI engineering, ML engineering, or a closely related data science role Hands-on production experience with LLMs Strong understanding of RAG, embeddings, context engineering, and agentic frameworks Experience with ...

looking for Experience with data-heavy applications, whether that’s ETL/ELT pipelines, data lakes, or working alongside data science and ML teams. Confidence working across multiple teams and stakeholders, turning business problems into well-defined technical solutions. Knowledge of Vertex AI or GCP's broader AI/ML ...

technical discipline Technical knowledge in data centers design and construction, specifically POD-level architecture and modular design, high-density compute environments (AI/ML workloads) and/or liquid cooling architectures Project Management Experience: Experience with Product Design or Product Management with a working knowledge of Agile/Scrum … edge DMAIC experience for process improvement and drive for excellence Experience delivering POD-level architecture and modular design High-density compute environments (AI/ML workloads) and cross-domain system integration (cooling, power, structural) Proven ability to author whitepapers and thought leadership and lead system-level design trade-off discussions ...

communicate and influence effectively across both technical and business audiences Experience working within large, complex, and geographically distributed programmes Understanding of AI/ML concepts and their role in modern data ecosystems (without being a specialist) Cloud platform experience relevant to enterprise data solution delivery Good-to-Have Skills Microsoft … invested in wellbeing apps such as Thrive and Peppy. 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 ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … technologies. Opportunity to shape the future of AI adoption within some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. TPBN1_UKTJ ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … technologies. Opportunity to shape the future of AI adoption within some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … technologies. Opportunity to shape the future of AI adoption within some of the UKs most impactful industries. xkybehq Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

private sectors. Strong background in software development, system architecture, low code/no code and emerging technologies. Experience with cloud computing, AI/ML, cybersecurity, and scalable platforms. Excellent leadership, communication, and decision‐making skills. Strong understanding of agile methodologies, DevOps, and software lifecycle management. Experience in fundraising, investor relations … Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings Education Benefits: Learning Courses, Business Skills Training * Offered only to employees based in the UK. #J-18808-Ljbffr ...

cohesive platform solutions. Innovation & Emerging Tech: Awareness of trends in platform engineering, such as platform orchestration, internal developer portals, and integration of AI/ML capabilities into platform offerings. Candidates with platform product management experience are encouraged to apply. Ideal candidates will bring a product mindset to platform engineering, with … client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You’re a strategic thinker ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE Demonstrated origination, market making, account creation … bookings Can structure standard and bespoke deals Can develop G2M packs for C-Suite but can also baseline with solution architecture IDP, NLP, ML, GenAI, Workflow & RPA experience Comfortable with On Prem and Cloud Architecture Can identify a client’s automation maturity DSIT AI Ethics legislation awareness Awareness of Automation ...

Silver Sustainability medal. You’ll also benefit from: Hybrid working that supports flexibility and collaboration A purpose‐led, people‐first culture where inclusion, learning and development are genuinely prioritised Opportunities to shape modern engineering practices across automation, AI, security and performance testing Career and skills development in a business …/CD and DevOps practices Experience embedding security testing into software delivery, ideally working closely with Information Security teams Practical experience applying AI, ML or AI‐augmented tooling within a testing or engineering environment Knowledge of automation frameworks such as Selenium, Playwright or equivalent, plus performance and security testing tooling ...

client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE As a member of the Data … technical stakeholders, translating complex concepts into clear, compelling narratives for senior audiences. Data & AI expertise – Strong understanding of data ecosystems and AI capabilities (e.g. ML, GenAI, analytics), with the ability to connect technology to tangible business value. AI strategy & delivery experience – Experience across the lifecycle from discovery and use case ...

reporting and insight transformation initiatives • Partner with senior stakeholders to identify and prioritise high-value opportunities • Guide development of predictive models , forecasting tools and ML-driven solutions • Collaborate with Product, Engineering and Governance teams to deliver measurable business impact • Build a culture of experimentation, innovation and continuous improvement Key Details … Central London • Team: Direct responsibility for Analytics and Data Science leadership, managing c.14 specialists • Tech Environment: SQL, Python, R, AWS, Snowflake, Tableau, Analytics & ML platforms • Visa Sponsorship: May be considered for exceptional candidates Interested? Please apply below. ...

environments at different stages Operate within air-gapped and restricted access environments (including ITAR and special access considerations) Integrate and support AI/ML models within platform architecture (core requirement) Provide technical leadership while remaining hands-on with delivery Essential Skills & Experience Strong experience in DevOps/Platform Engineering roles … Strong understanding of DevOps culture and modern engineering practices Experience supporting platform modernisation or legacy-to-modern migrations Desirable Experience Apache Kafka AI/ML model integration within platform environments Exposure to ITAR/defence/highly regulated systems Experience operating in environments with multiple maturity levels across platforms Role ...

environments at different stages Operate within air-gapped and restricted access environments (including ITAR and special access considerations) Integrate and support AI/ML models within platform architecture (core requirement) Provide technical leadership while remaining hands-on with delivery Essential Skills & Experience Strong experience in DevOps/Platform Engineering roles … Strong understanding of DevOps culture and modern engineering practices Experience supporting platform modernisation or legacy-to-modern migrations Desirable Experience Apache Kafka AI/ML model integration within platform environments Exposure to ITAR/defence/highly regulated systems Experience operating in environments with multiple maturity levels across platforms Role ...

/Python; Automation and containerisation; Solution based mindset; DevOps culture; Python; Apache Kafka; Kubernetes; Docker; CICD; Secure development in air gapped environments; AI/ML model integration experience. Role scope Primary focus : Is this role mainly hands-on engineering (CI/CD, Kubernetes, automation), or does it lean more towards … security element (e.g. security tooling, compliance requirements, air-gapped constraints)? Compliance requirements, air-gapped constraints, ITAR and special access compartment considerations. AI/ML integration : Is this a core requirement or more of a nice-to-have? Core Clearance For SC clearance: is any active SC acceptable, or is there ...

Salary: up to £110K Work Model: 1-2 days a week in office Key Skills: Ruby on Rails, ML/AI, LLMs A Senior (Ruby on Rails) Engineer is required to join one of our clients, who are transforming the automotive space. This role provide an opportunity for an experienced … Ruby on Rails Engineer working closely with team sizes from 5-15 ( onshore/offshore) and want to work with the latest innovations in ML and AI, please get in touch. Key requirements: + 7 years of Ruby & Ruby on Rails AI & LLMs: API integration, prompt engineering, AI-enhanced features ...

contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability … contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...