751 to 775 of 864 Machine Learning Jobs in the UK excluding London

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

What you’ll do Build and scale backend services and APIs for web and desktop applications. Design and implement distributed systems for async processing, ML workflows, and asset pipelines. Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience. Drive observability, performance tuning, and deployment automation across … stack. Collaborate closely with product, frontend, and ML teams to deliver features that delight and scale. You should have 5+ years of experience developing production-grade backend systems and APIs. Strong skills in Python (FastAPI or similar) and modern cloud infrastructure. Deep understanding of system design, scalability, and reliability . ...

trusted advisor to CIO/CDO/AI leadership , shaping data & AI transformation roadmaps Drive data product thinking with embedded AI/ML capabilities (intelligent underwriting, claims automation, pricing optimisation) Bring market perspective on AI-native data ecosystems, GenAI enablement, and agentic architectures 2. Data & AI Architecture Leadership … enabled accelerators to: Reduce migration timelines Improve accuracy and minimise manual intervention Enable continuous intelligence through pipelines that combine data engineering with AI/ML workflows 4. Insurance Domain & Data Products Deep understanding of Specialty Lines insurance (Commercial, Marine, Liability, etc.) Define and operationalise domain-centric data products , such ...

multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling … workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business ...

analysis into clear, honest reporting and visualisations stakeholders actually use Growing toward the harder problems we work on: forecasting, route and resource optimisation, applied ML What we work with Python — pandas, NumPy, scikit-learn Jupyter notebooks Data visualisation — matplotlib, Plotly geopandas and geospatial analysis SQL Nice to have: exposure … optimisation (OR-Tools), basic ML, QGIS/ArcGIS You might be a good fit if you Are studying, or have recently finished, a numerate degree (Data Science, Computer Science, Maths, Physics, or similar) Are comfortable in Python and genuinely enjoy getting your hands into real-world data Are curious ...

CirlceCI etc Awareness of the latest developments in testing tools and design patterns Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud Whats in It for You? At Scale Factory … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Lets Build the Future Together Were on the lookout for passionate, talented individuals ...

experience building scalable distributed systems or data plat forms.Fluency in Python, SQL, Java, and modern data processing frame works.Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (requ ired).Proven experience developing monitoring frameworks, observability pipelines, and dashb oards.Deep understanding of event-driven architectures and messaging systems (Kafka … security engineering, IAM principles, encryption, and cloud security controls. Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML sy stems. In a dditionExposure to MLOps, LLMOps, or model lifecycle mana gement.Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST AI RiskManagement ...

data capture, through large-scale distributed processing, structured storage and Data LakeHouse design, to curated consumption by Data Scientists, Analysts, Engineers and AI/ML platforms. Spark and distributed data processing sit at the heart of this architecture; deep fluency in these domains is essentia l. What … data services, including AWS Glue (Spark-based ETL), Serverless compute, DynamoDB, S3-based Lake architectures, and associated security and governance t oolingWorking knowledge of ML and Generative AI platform architecture, including the design of Agentic AI systems within the data and software development lif ecycle Leadership & Commun icationExceptional communication skills ...

signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise the link between AI-powered biological discovery and real-world clinical outcomes. This role sits across biological … discovery and scalable ML engineering. You will own key parts of the end-to-end architecture from data to model to evaluation to deployment, and work closely with ML engineers and software engineers to productise the platform into client-ready outputs. This is a senior role with significant autonomy ...

company that values inclusion. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth … years of experience in an implementation or business consulting environment. At least 2 years of experience in Human Resources, specifically within HCM, talent management, learning, succession, performance, and/or compensation. Leverage strong client relationship skills to influence and guide clients towards the best solutions to meet their needs. ...

Security Architect – ML/AI Systems 📍 UK | Hybrid | Up to £130,000 + Package | SC Eligible We’re looking for a hands-on Security Architect with deep expertise in ML/AI systems to join a leading Security Team. This is a rare opportunity to act as a technical … shaping the security of AI-driven systems in high-stakes environments. What you’ll be doing: Own and design security architectures for ML/AI systems, ensuring robust protection across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges ...

constantly growing!), working with cutting-edge technologies and continuing to push forward with new products and tech. They're building a new team of ML & AI Engineers. As a result, they're looking for an Engineer with AI & ML - who will be expected to add a lot of value ...

constantly growing!), working with cutting-edge technologies and continuing to push forward with new products and tech. They're building a new team of ML & AI Engineers. As a result, they're looking for an Engineer with AI & ML - who will be expected to add a lot of value ...

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 ...

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. ...

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 ...

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 ...

improve overall output quality. Technical Domain Focus Candidates should ideally possess expertise or interest in one or more of the following domains: AI/ML for imagery and remote sensing applications Reinforcement learning Natural Language Processing (NLP) & Large Language Models (LLMs) Knowledge graphs and graph-based neural networks …/ML applied to RF, Electronic Warfare (EW), radar, sonar, or acoustics Autonomous systems Requirements & Qualifications Essential Education: PhD in a relevant quantitative or technical discipline. Experience: Circa 10+ years of demonstrable experience in an AI/ML role within industry or academia (ideally with exposure to the defense ...

executive presence to make data a genuine board-level conversation. Key Responsibilities Set and own the data, analytics and (where in scope) AI/ML strategy in service of the wider business strategy Build, scale and lead high-performing data, analytics, BI and ML teams Partner with the executive team … governance, ethics, privacy and compliance—UK GDPR, FCA and sector-specific obligations where relevant Lead platform and vendor decisions across warehouse, lakehouse, BI, orchestration, ML and data activation Set and manage the data function's roadmap, budget and operating model Develop data literacy and a data-informed decision culture across ...