1,176 to 1,200 of 1,359 Machine Learning Jobs in the UK

Senior Software Engineer (or equivalent) on complex software projects. Strong hands-on experience with AWS services, particularly Amazon Lex and other AI/ML services. Advanced proficiency in TypeScript and modern JavaScript development. Solid understanding of DevOps methodologies and tooling, including CI/CD, serverless technologies, and monitoring solutions. Experience … with the ability to work autonomously in a contract environment. Excellent verbal and written communication skills. Desirable Experience Experience with additional AWS AI/ML services. Familiarity with serverless architectures and microservices-based systems. Knowledge of cloud security best practices. Experience working in agile delivery environments. Modis International Ltd acts ...

analytics and AI tools to drive data-informed decision-making across the business. AI & Advanced Analytics Identify and deliver opportunities to embed AI/ML capabilities into products (e.g., predictive analytics, automation, intelligent workflows). Partner with data governance and AI teams to ensure responsible and ethical use of data … financial data systems and ERP (e.g. NetSuite) and self-service analytics tools (e.g. ThoughSpot). Demonstrated ability to deliver products leveraging AI/ML for business value. Excellent time management, prioritization, and communication skills. Flexibility and intellectual curiosity to explore new technologies and approaches. Delivery focus with strong critical thinking ...

resolve complex defects efficiently Build automation frameworks using Python, Git, and Pytest, while exploring AI-powered testing with Gen-AI and AI/ML tools to enhance validation processes Contribute to test strategy, coverage, and risk-aware methodologies to strengthen quality assurance Deliver high-quality features for AI Connect, data … improve quality assurance. Nice to Haves : Familiarity with NETCONF/YANG protocols Knowledge of AI-driven testing methodologies, Generative AI, and AI/ML tools Experience in using AI to optimize and enhance testing processes. About the company : A well established, global high technology business dedicated to Networking, Routing Systems ...

next generation of our products. The Products You'll Work On Sherlock - AI Driven Legal Case Analysis Transforming litigation preparation through automated case ingestion, ML powered reasoning, and structured output creation. RFP Service - AI Powered Tender Response Automation A platform that uses an evolving corporate knowledge base to automate … team Strong full stack capability: Front end: TypeScript, React, Tailwind Backend: Python Databases: Supabase, PostgreSQL, or similar Hands on experience with AI/ML tooling : embeddings, LLM libraries, vector databases Familiarity with AI assisted development tools (Cursor, Claude Code, etc.) Background in a startup, consulting firm, or mature engineering environment ...

next generation of our products. The Products You'll Work On Sherlock - AI Driven Legal Case Analysis Transforming litigation preparation through automated case ingestion, ML powered reasoning, and structured output creation. RFP Service - AI Powered Tender Response Automation A platform that uses an evolving corporate knowledge base to automate … team Strong full stack capability: Front end: TypeScript, React, Tailwind Backend: Python Databases: Supabase, PostgreSQL, or similar Hands on experience with AI/ML tooling : embeddings, LLM libraries, vector databases Familiarity with AI assisted development tools (Cursor, Claude Code, etc.) Background in a startup, consulting firm, or mature engineering environment ...

POWER BI DEVELOPER Up to £50,000 | Leicester (Hybrid) | Finance Team THE COMPANY A leading UK organisation investing heavily in modern analytics and building gold standard data infrastructure. Operating at scale with sophisticated finance operations ...

Conduct QA on creatives, ad tags, and tracking before launch. Analyse delivery and performance, providing actionable insights to improve results. Set up and manage machine learning-driven targeting campaigns for clients. Product Delivery & Coordination Coordinate GMS campaign setup, including articles, dashboards, microsites, and client ABM target lists. Maintain ...

looking for a Senior Security Consultant with deep expertise in cybersecurity and practical experience in securing AI/ML systems. In this role, you will help clients navigate the rapidly evolving threat landscape of artificial intelligence. You will work across strategy, architecture, and hands-on technical analysis to design resilient … systems for high-impact environments. Key Responsibilities AI/ML Security Oversight: Evaluate and secure the entire AI lifecycle, including model governance, data pipelines, and deployment patterns. Threat Modeling: Conduct advanced security assessments and risk analysis across cloud, on-premise, and hybrid environments. Risk Mitigation: Advise clients on emerging ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users. Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability. Work on ML model development with our team to build robust data pipelines and deploy ML models. Analyse large corpora of data and build real-time recommendation systems. ...

technical depth with meaningful impact, this is the role for you. What You'll Do: Lead data science projects from scoping to deployment Apply ML and statistical methods across varied data types Collaborate with ML engineers to productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team … members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles ...

Required Background Strong background in financial services, consumer lending, or fintech. Expert in credit, fraud and pricing modelling. Advanced skills in Python, SQL, and ML frameworks. Proven ability to design, deploy, and monitor models in production. Leadership experience - mentoring or managing data science teams. Confidence in regulated environments: model governance … stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends. ...

based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems … through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

performance. The team has delivered pricing optimisation systems, cost modelling platforms, and store analytics tools for global retailers - blending commercial strategy with hands-on ML and engineering. You’ll lead technical delivery of solutions that touch everything from supplier negotiations to customer experience design. Expect to work in cross-functional … projects from idea to value. They’re hiring at Lead (3–5 years) and Principal (5–10+ years) levels. Key Responsibilities • Build and deploy ML tools for pricing, operations, and layout optimisation • Translate commercial priorities into robust, data-driven solutions • Partner with client stakeholders to iterate and embed ML ...

been experimenting and building innovative solutions using the latest and greatest technology Proven experience in a technical role, with a focus on AI/ML Hands-on experience with AI Workbenches on major cloud platforms, such as Gemini Enterprise, Azure AI Agent Familiarity with GenAI frameworks and libraries like LangChain … space A professional certification in a major cloud platform (e.g., Google Professional Cloud Architect, Azure Solutions Architect Expert). Experience delivering production AI/ML services for scaled end-user consumption within the retail or CPG industry. What’s in it for you? At Accenture in addition to a competitive ...

data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent … building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role ...

requirements Act as technical lead, translating business and end-user needs into robust, deployable solutions Lead development of core digital products covering process planning, machine control, and data platforms Drive scalable, modular, and industrial-grade software architecture across desktop, real-time, and cloud systems Remain hands-on with … architecture, code reviews, and resolution of critical technical issues Lead adoption of advanced digital capabilities including digital twins, data-driven qualification, and AI/ML Establish best practices for software quality, DevOps, CI/CD, and cloud deployment Lead, mentor, and grow a multidisciplinary software and controls team Skills & Experience ...

with auditors, external assessors, and customer security teams. Nice-to-Have Prior experience building security functions in a fast-growing SaaS or AI/ML-driven company. Knowledge of AI-specific compliance and risk frameworks (NIST AI RMF, EU AI Act). Benefits Join a pioneering joint venture … intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field. ...

structured data representations (tables, graphs, schemas) Build training, simulation, and evaluation environments for long-horizon, multi-step agent behavior Develop self-supervised and reinforcement learning objectives for improving agent reliability and correctness Integrate foundation model embeddings and symbolic components into agent workflows Own agent systems end-to-end, from … engineering problems MSc/PhD in Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX) Experience designing agentic systems (planning, memory, tool use, multi-step reasoning) Strong understanding of transformers and foundation model behavior Comfortable owning ...

secure coding standards. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance within the team. Troubleshoot and resolve complex technical issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 8+ years of commercial … design. Hands-on experience with AWS platform. Excellent communication skills, capable of motivating and aligning technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: Exposure to startup environments. Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank ...

ROLE As a Full Stack Software Engineer , you’ll focus on 60–70% frontend and 30–40% backend development, building web UIs, dashboards, and ML-integrated interfaces that bring their AI models to life. This isn’t just about writing code—it’s about crafting exceptional user experiences that make … tools accessible and powerful. Specifically, you can expect to be involved in the following: Technical tasks: Developing React/Vue-based UIs , collaborating with ML teams to embed AI capabilities, and ensuring seamless frontend-backend integration. Other key responsibilities: Owning the product-focused development of their platform, from prototyping ...

small engineering team. Ideal candidates will have experience building scalable e-commerce systems, integrating third-party platforms (e.g., Shopify), and applying AI/ML to enhance performance and automation. Responsibilities Lead and mentor a small engineering team Architect and build scalable integrations across the e-commerce ecosystem Develop new features … roadmap Maintain high code quality, performance, and reliability Communicate effectively with both technical and non-technical stakeholders Implement data optimisation strategies Apply AI/ML technologies where relevant Troubleshoot and resolve issues across systems and integrations Improve and participate in agile development practices Conduct code reviews and mentor junior engineers ...

Neo4j schemas; write high-performance Cypher queries and ensure production scalability. Graph Data Science: Apply graph algorithms (e.g., centrality, pathfinding, community detection) and graph ML to derive actionable insights. Production Deployment: Move solutions from research to production (TRL > 6); integrate graph models into APIs and pipelines with reliability and latency … experience with data modeling, ontologies, and semantic technologies (RDF, OWL, SPARQL). Programming: High proficiency in Python (pandas, networkx, py2neo, neo4j-driver). Graph ML: Experience with Neo4j GDS or frameworks such as PyTorch Geometric or DGL. Production Engineering: Hands-on experience with Docker, REST APIs (FastAPI/Flask ...

days in office) Duration 12 months Competitive Day Rate (Inside IR35) Key Expectations from the role: Technical leadership and architecture Delivery ownership AI/ML solution stewardship People leadership Stakeholder and product partnership Controls and governance Key Skills: Expert level proficiency in Java and/or Python. Cloud-native systems … compute, storage, networking, IAM, KMS, observability). Demonstrated success in leading teams Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated ...