1,876 to 1,900 of 2,186 Machine Learning Jobs in the UK excluding London

Will Do Build, test, and ship features for products in active use by energy companies worldwide Debug and fix defects in production systems, learning how large-scale applications behave under real conditions Write and maintain automated tests as part of the team's standard delivery workflow Participate in code … data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates from ...

calibrate assessments, and help onboard new team members effectively. Partner with the Data Engineering Manager on team development planning, identifying skill gaps and proposing learning opportunities. Ensure team members feel supported, challenged, and set up to do their best work. Governance & Collaboration: Partner with Data Governance to embed data … platform architecture patterns and their practical application in a scaled organisation. Experience with GCP cost management and BigQuery cost optimisation strategies. Broader exposure to ML infrastructure, feature engineering pipelines, or data science platform enablement. CLOSING DATE: 21st August LOCATION: Please note this is a hybrid role and requires the successful ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

skillsHands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scaleHands-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 environmentsExpert in one or more programming languages …/or JavaAdvanced 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 working ...

clients, hands-on with model integration, multi-agent workflows and data engineering from day one. Looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. UK (Brighton, Hybrid), Europe (Remote), United Kingdom Contract Location: UK (Brighton … with hands-on model integration, agentic workflows and data engineering from day one. We're looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. Brighton (Hybrid), Europe (Remote), United Kingdom Full Time Location: Brighton (Hybrid ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

solutioning, and engineering alignment of a large-scale Wealth Management platform. You will work across applications, UI services, APIs, integrations, data, databases, AI/ML, AWS Cloud, infrastructure, Kubernetes, Docker, DevOps, security, performance, scalability, and cost optimization. You are expected to be hands-on, technically deep, and closely engaged with … Kubernetes) and embed complete CI/CD/DevSecOps lifecycles. Data & AI Architecture: Provide technical direction across RDBMS, NoSQL, Data Lakes, and AI/ML capabilities (LLM integration, RAG, vector databases). Performance & Security: Lead latency profiling, database tuning, DevSecOps, secrets management, and infrastructure sizing. Hands-On Leadership & Troubleshooting: Review ...

similar AI/LLM frameworks , together with the ability to work below the framework level when necessary. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Hands-on experience building search … with highly regulated, mission-critical or data-intensive organisations. Experience with large-scale data platforms and distributed search. Contributions to open-source AI/ML projects. The Engineering Challenge This isn't a role focused on experimenting with AI in notebooks or stitching together a collection of third-party APIs. ...

More about the role Our Data & Analytics team creates value for Morrisons by making sure we have the right data in the right place, transformed into clean, accessible structures ready for reporting, data product creation ...

Platform’s Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle … This is an exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover ...

with diverse teams to build scalable, high‐impact solutions. • Drive innovation by experimenting with emerging AI technologies. The Role As a Lead AI/ML Engineer , you will design, build and optimise scalable AI workflows and intelligent systems that enhance enterprise processes and customer experiences. You will work closely with … solution development, and ensure best‐practice implementation across model design, performance optimisation and integration. Key Responsibilities Design and implement AI workflows and high‐performing ML models. Build solutions using LangChain for agent‐based and RAG‐driven architectures. Optimise and scale AI/ML models for reliability and efficiency. Apply prompt ...

leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with ...

Data Science concepts or LLM experimentation using structured evaluation frameworks Highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code Experience deploying ML workloads to cloud platforms (Azure, AWS or GCP) Familiarity with CI/CD and containerisation (Docker/Podman) Applied knowledge of statistics and experimental design … travel Core Competencies Demonstrates expertise in Data Science concepts and LLM experimentation, with a strong focus on building scalable evaluation frameworks and deploying ML workloads on cloud platforms. Proficient in Python and capable of translating complex findings into actionable insights while managing fast-paced workstreams. Highest-signal resume keywords Data ...

academic leadership in education across a broad range of AI disciplines Fully engage with Newcastle's Leading Edge Curriculum redevelopment, ensuring that our students' learning is enriched through engagement with research, industry, practice and society Carry out administrative duties as assigned by the Head of School and the School … using appropriate technologies to engage and support students, including supervision of undergraduate and postgraduate projects. Experience leading programme-level design and delivery of teaching, learning and assessment strategies. A strong, sustained international research profile with a consistent track record of high-quality outputs and recognition. A record of successful ...

without authority Technical Knowledge Basic understanding of software architecture and technical feasibility Familiarity with cloud platforms and digital transformation concepts Knowledge of AI/ML capabilities, limitations, and business applications (for AI products) Understanding of data warehousing, analytics, and data-driven products Awareness of cybersecurity, data privacy (GDPR, CCPA … record of successful product launches and achieving business metrics (revenue, adoption, market share) Experience managing B2B or B2B2C technology products Experience with AI/ML products or analytics platforms is preferred Strong background in data-driven product management and experimentation Experience with enterprise sales cycles and customer success management Experience ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

skills with the ability to influence cross-functional teams. Strong communication and presentation skills, including engagement with senior business stakeholders. Knowledge of AI/ML capabilities, customer data ecosystems, and modern data platforms. Ability to interpret data and customer insights to drive product decisions and business outcomes. Demonstrated experience delivering … such as Snowflake, Azure Data Lake, or similar cloud-based technologies. Understanding of model monitoring, observability, and performance tracking practices. Exposure to AI/ML-enabled products and data monetization initiatives. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature ...

continuous and sustainable. We enable organisations to become the best version of themselves. We believe in hiring talented people with the right attitude and learning potential. The company is now going through an exciting phase of growth, and we hope you can join us on our journey. Our hiring … practical application of Team Topologies) Experience as a data practitioner, at either a technical or strategic level Experience designing and delivering solutions across AI, ML and LLMs, with corresponding certifications Experience as an Enterprise Architect, defining and agreeing digital, data and technology strategies aligned to business priorities Exposure to regulated ...

Agile environments with a continuous improvement mindsetExperience leading change across technology, process or ways of workingHands-on experience using or introducing AI or ML tools within engineering teamsTechnical foundationsSolid understanding of cloud-native architecture, AWS and distributed systemsProficiency in at least one modern programming languageStrong grasp of system design … physical, and financial well-being. Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content. Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work ...