976 to 1,000 of 1,159 Machine Learning Jobs in the UK excluding London

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience … LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. ...

test, and maximise the value of models ranging from LLMs to propensity and classification. Contribute to the end-to-end development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment … maximum impact. We're looking for someone who is: An experienced practitioner: You have 5+ years of experience as a Data Scientist or ML Engineer, covering both classic ML and Generative AI. A proven builder: You've successfully created multiple Data Science products that have moved the needle. A deployment ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

practical experience delivering system design, application development, testing, and operational stability at enterprise scale Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments Expert in one or more programming languages …/or Java Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

Document complex technical architectures clearly and articulate system requirements, post-mortems, and engineering strategies effectively to both technical and non-technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self-service infrastructure tools, deployment templates, and continuous … place for you. Skills, Experience & Personal Attributes Platform Experience : Demonstrable DevOps experience, with a proven focus on building software engineering platforms or AI/ML infrastructure. IaC Mastery : The successful candidate must demonstrate advanced proficiency in Infrastructure as Code (IaC), with a track record of building and maintaining complex cloud ...

hand of the CDAO. This is a pure project management role — you will act as the primary facilitator across a Data Engineering, AI/ML, BI, and Investment Pricing teams, translating high-level organisational ambition into structured, deliverable plans. This is not a coordination role. You will own delivery, challenge … business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers and senior commercial stakeholders. Proficient ...

Develop self‐healing and auto‐scaling mechanisms to support dynamic workloads Drive modernization initiatives including cloud‐native database adoption, serverless architecture, and AI/ML integration (Innovation & Modernization) Evaluate and implement emerging technologies to improve platform efficiency and developer experience Prior exposure to building ML and generative AI solutions using … Snowflake Cortex Analyst, Search, AI‐SQL, Snowflake ML, and Snowpark Container Services (Design & Architecture of AI/ML Solutions) Conduct workshops and discovery sessions with client stakeholders, and expose internal teams to AI/ML model training and deployment Key Qualifications Prior expertise and experience in PostgreSQL and Snowflake administration ...

based geolocation techniques Experience developing and deploying cloud‐based applications and services using modern cloud platforms and containerization technologies Experience applying AI/ML techniques, including deep learning or generative AI, to spectrum monitoring, signal analysis, automation, or related RF workflows Careers Privacy Statement. Keysight is an Equal Opportunity ...

Description – Senior AI/ML Engineer Location: Melbourne (hybrid, 3+ days a week in our Melbourne office) About Artificial Analysis Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. … Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. The Opportunity We're looking for a Senior AI/ML Engineer to join our team and lead projects in AI benchmarking and analysis. You'll work closely with our founders to build core parts ...

Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs … balance technology choices while delivering high-quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non-technical) in partnership with ...

Gloucester seeks a Principal Data Scientist and ML Researcher to lead advanced data science initiatives, shaping group strategy and stakeholder engagement. You will develop novel AI/ML solutions, guide junior researchers, and deliver research and deployed models across defence projects, with hybrid work and opportunities to operate across … sites. The role requires a PhD or MSc preferred, strong Python and ML tooling, and experience in AI/ML pipelines, NLP, CV, and LLMs. #J-18808-Ljbffr ...

tooling environment Familiarity with NIST, ISO, Zero Trust, or similar security frameworks. Experience with cloud platforms (Azure, AWS, GCP), security tools, automation, AI/ML-enabled products, Data Science or enterprise platforms. Knowledge of CI/CD, security workflows, governance, and data products. Security or cloud certifications preferred. Supervisory Responsibilities … accelerates speed, agility, and value. We also invest in you. At Allstate NI, your career growth matters. You’ll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities. Whether you’re deepening technical expertise ...

Providing technical leadership across key domains in data and AI Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you. Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

ensure that the pressure to deliver does not erode the long-term viability of our systems. Drive the AI agenda:lead on AI/ML tooling across the organisation, identifying opportunities that move the needle for national security. Act as the final word:serve as the ultimate escalation point … governing engineering standards and compliance frameworks. Familiarity with modern practices such as Agile, DevOps, and CI/CD. A passion for AI/ML and the ability to implement these technologies within a complex delivery structure. Experience leading engineering communities of practice or making high‐level technical investment decisions. Your ...

large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML‐enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing … year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your ...

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’ll thrive in this role … automation, such as: RPA development (e.g., UiPath, Blue Prism, Automation Anywhere, NICE, ServiceNow, Power Platform) IDP (Intelligent Document Processing) (e.g., Hyperscience, ABBYY, Kofax) NLP, ML, or AI‐enabled automation (e.g., Spacy, Azure Cognitive Services) Low‐code platforms (e.g., Appian, Power Platform, Pega, Dynamics 365) Workflow orchestration Exposure to Agentic ...

drive technical processes: engineering standards, security practices, including pen testing, SDLC ownership Work across the full stack, from front end through back end to ML/AI and data Whiteboard solutions directly with senior business stakeholders and translate requirements into build Mentor engineers and squad tech leads to understand … Python and FastAPI AWS architecture at scale, with a preference for open standards over cloud-native lock-in Full-stack understanding across FE, BE, ML/AI and data Comfortable challenging engineering decisions at code level while operating at architecture level Strong tenure and a coherent technical career trajectory Aviation ...

actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data‐driven improvements within the insurance domain. The role requires strong Python skills, statistical modelling ...

million users across 100 countries, is looking for an experienced Full Stack Engineer to help deliver the next generation of AI-powered language learning and assessment products.You'll be a hands-on engineer with strong Python, React, JavaScript/TypeScript and AWS experience, developing scalable cloud-native applications … integrating AI capabilities into production systems.Recent experience developing Chat or Messaging applications within the Education or Learning sector is essential. Key Responsibilities: Develop and maintain scalable full-stack applications using Python, React and AWS. Contribute to technical architecture, solution design and engineering best practice. Build high-quality, secure ...

experience. Essential Requirements You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience of previously … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

AIOps use cases including anomaly detection, fault prediction, incident prioritisation, event correlation, and service impact analysis. Integrate OSS platforms with data pipelines, AI/ML platforms, orchestration platforms, and automation engines. Develop data aggregation pipelines from EMS/NMS, assurance tools, inventory systems, telemetry platforms, ticketing systems, and log platforms. … real – what does it mean for you? Exposure to top global companies working withCapgemini (145 of the Fortune 500 companies) Open access to digital learning platforms Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini Capgemini is proud to be a Disability Confident Employer ...

WOULD BE GREAT IF YOU ALSO HAD Experience with Databricks or Snowflake, particularly in analytical or data-intensive contexts Familiarity with AI/ML in production: model serving, prompt pipelines, or agentic patterns Experience with consumption-based and subscription billing Experience with self-serve billing platform integrations Exposure to aviation … benefits designed to support you through parenthood and fertility journeys Work remotely anywhere in the world for up to 1 month per year Annual learning and development budget. OAG is committed to creating an inclusive workplace where everyone feels valued and able to perform at their best. We welcome ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...