151 to 175 of 727 Machine Learning Jobs in the UK excluding London

Computer Science, Engineering) Experience using Python is a must Experience of data visualisation tools (e.g. Tableau, Power BI) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using data, analytics and AI to solve investment problems … further details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

looking for a Senior Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

technical teams understand how to use data effectively. Providing input into the future direction of advanced analytics, including the potential transition of existing machine learning models from third-party to in-house ownership (desirable exposure). This role is less about building infrastructure and more about extracting value … data platforms and modern BI stacks (e.g. AWS, Snowflake, dbt, Power BI). Awareness of machine learning concepts and experience working alongside ML practitioners or models. WHY APPLY? Play a pivotal role in taking a data function from strong foundations to real business impact. Work directly with senior ...

looking for a Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

apply their knowledge effectively in real-world scenarios. In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python … Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others through knowledge sharing Qualifications: Desirable degree in Mathematics ...

Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models … Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

Description Undertake a supervised project on methods related to the quantum enhanced simulation of material (e.g. density functional theory, post DFT methods and machine learning), efficient representation of chemical and materials problems on quantum devices or close related projects. Requirements Essential criteria: Currently pursuing a PhD (or recently … relevant discipline. Flexibility to work across different aspects of quantum software and underpinning theory. Desirable criteria: Experience in materials discovery and use of machine learning methods to enhance workflows. Enthusiasm for learning and novel research. Excellent communication skills. To apply, please click on "Apply for this ...

quality, security, and maintainability matter. What you’ll be doing Designing and developing object-oriented software using C#, C++, and Python Integrating AI/machine learning components into production applications Building and maintaining APIs, services, and microservices Working across the full Software Development Life Cycle (SDLC) Translating requirements … clearance or eligibility to obtain it (UK residency required) Desirable experience Experience with AI agents, autonomous systems, or decision engines Exposure to LLMs, machine learning models, or AI APIs CI/CD, automated testing, and Git experience Agile delivery (Scrum/Kanban) Cloud platforms (Azure, AWS, or similar ...

Title: AI Engineer (Digital Health)/Machine Learning Engineer/AI Lead/Generative AI Engineer/Aritificial Intelligence Level: Mid-Level Location: United Kingdom (Hybrid working) Salary: £60,000£90,000 + benefits Employment Type: Permanent The Opportunity We are a Specialist Digital Health Consultancy working with … quality. What Were Looking For AI & Engineering Experience Around 25 years experience in software engineering, with at least 12 years working with AI/ML or Generative AI in a commercial setting. Solid Programming Foundations Strong skills in Python and/or JavaScript , with a good understanding of APIs, data ...

systems and machine-learning environments. Required Experience Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps. Proven track record designing, scaling, and maintaining distributed systems and high-volume data pipelines. Strong background in cloud-native architectures and modern … data stacks such as Spark or Databricks. Experience working closely with Data Science teams, including delivering production-grade ML models and pipelines. Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross-functional technical decisions. Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability ...

that focus on their customers, empower their people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations — including AI & Machine Learning, Analytics, and Infra & Database Migration — as well as recognition as a Best Place to Work in both tech and career development. … visualization tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

satisfaction from day one. Experience in building reusable AI components and frameworks for enterprise-scale deployments.Your CV must evidence strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). You will have strong statistical and analytical skills. You will be experienced in a wide range of Data Science techniques (e.g. … ML, Optimisation, Simulation, GenAI, etc.). You will have demonstrated an ability to take models from design through to production deployment, including performance optimisation, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages. You will have significant experience in similar operational research roles, with a proven ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

growing our AI capabilities, and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … below work as part of the team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions. Data & Insights – partnering with product, operations or customer-facing teams to understand real problems AI can help solve. Customer Experience ...

when needed. Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Cheltenham. Working at the forefront of national security innovation this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect ...

opportunity to work on a wide range of technically challenging projects, including large-scale data processing systems, enterprise applications, mobile applications and cutting-edge machine learning solutions. You’ll be joining a collaborative, supportive and highly skilled team within a friendly, family-run environment. As a Software Developer … team Example Projects Real-time IoT systems communicating via GPRS Complex reporting and scheduling platforms Large-scale, data-driven systems Rich data analysis, machine learning, and AI solutions Backend integrations with CRM and financial systems Required Skills & Experience Strong commercial experience with C# .NET Core (essential) Proven experience ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

vector search technology. Collaborate with cross-functional teams to integrate AI models into products. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying … models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc. ...

engineering, and analytics, translating strategic goals into clear product outcomes and actionable backlogs. You'll own the roadmap for data products that enable analytics, machine learning, and data-driven decision-making at scale. Key Responsibilities Own and manage the product vision, roadmap, and backlog for data platform capabilities … Ensure data products are scalable, secure, cost-efficient, and aligned with best practices Drive adoption and value realisation of Databricks (e.g. data engineering, analytics, ML use cases) Collaborate with engineering teams to plan sprints, manage dependencies, and remove blockers Balance short-term delivery with long-term platform strategy Monitor platform ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...