626 to 650 of 1,505 Machine Learning Jobs in the UK

research About Staffworx Staffworx is a UK-based specialist IT and consulting recruitment firm placing permanent, contract, interim and fractional talent across AI and machine learning, software engineering, data, cloud and senior consulting. We partner with software vendors, consultancies, fintechs and global systems integrators across ...

review website for enterprise software (SoftwareReviews), and a policy management application (myPolicies). We are also currently adding a range of AI/Machine Learning features across our product lines, which will be part of the focus of this role. Major ResponsibilitiesEnsure that testing activities verify applications meet ...

advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI.Experience leading and developing high-performing technical/consulting teams. Strong consulting and commercial experience, including business development and selling work. Experience engaging senior stakeholders ...

Experience influencing technical decisions and supporting capability growth. Experience with big data tools e.g. Spark, Hadoop, NiFi Exposure to Ansible and Terraform Understanding of ML algorithms and deployment ...

familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore in this role: ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore in this role: ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore in this role: ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

operational readiness: testing strategy, CI/CD, release notes, production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have ...

data processing using PySpark and/or Databricks. Experience with AWS services, APIs, event-driven integration and infrastructure as code. Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. Experience working with globally distributed teams and supporting cross-functional transformation programs. Please note ...

data modelling, data lakes, lakehouses, data warehouses and data integration. Experience with data governance, security, privacy and Microsoft Purview. Understanding of AI/ML and Generative AI data architectures. Proven experience leading technical teams and large-scale transformation programmes. Strong client-facing, communication and stakeholder-management skills. Experience in consulting ...

master's degree in computer science, Software Engineering, or equivalent practical experience. 12 or more years of experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions. Demonstrated experience taking AI ideas from sketch to working software at speed, in customer-facing ...

university effectively. Depending on the placement, you may develop hands-on capability in areas such as Python, software development, data analysis, AI/ML concepts, generative AI and rapid prototyping, applying these skills to real business and technology challenges. WHAT WE LOOK FORWe're looking for students that are highly … growth mind set and genuine interest in working within the emerging technology space. We are particularly interested in students whose studies include AI/ML content (for example, an AI minor, pathway or relevant modules), or who can demonstrate practical experience through academic, or personal projects. Experience with Python ...

directing AI coding agents, critically reviewing their output and knowing when to accept, correct, refactor or reject it. You'll also have experience productionising ML/LLM systems and embedding effective MLOps practices within engineering environments. What You'll BringProven success in a senior technology leadership role such … with familiarity across Golang, Python, Angular and Postgres. Practical experience with agentic AI development tools and AI-assisted software engineering. Experience building and productionising ML/LLM systems and establishing MLOps best practices. Experience owning the full software development lifecycle from conception through to deployment and ongoing maintenance. Excellent communication ...

relevant Azure/AI credentials. Exposure to Copilot tools or Machine Learning platforms (e.g., Foundry, Azure ML). Experience integrating with enterprise platforms such as Workday, ServiceNow, or SAP Risk & Compliance. Awareness of GDPR, platform security practices, identity management, and compliance standards within regulated environments. Client Description #LI ...

training, and experimentation Building reporting, visibility, and decision-support solutions Collaborating with stakeholders to understand business challenges and translate them into data-driven outcomes Learning how AI can be applied across operational, compliance, and sustainability-focused use cases Your Skills & Experience Strong academic background in a STEM subject such … Science, Mathematics, Physics, Engineering, or a related discipline Commercial experience working with data in a professional environment Strong Python and SQL skills Experience using machine learning libraries through professional work, research, or personal projects Exposure to Generative AI technologies and Large Language Models Understanding of software engineering fundamentals ...

applications, workflows, and AI-powered tools. Transform ideas and prototypes into scalable systems used by front-office teams. Work across data engineering, software engineering, machine learning, and cloud technologies. Drive adoption of modern engineering practices and emerging technologies. Translate technical concepts into business impact for non-technical stakeholders. … bias for action. Ability to work directly with business stakeholders and rapidly deliver solutions. Experience with cloud platforms, data pipelines, APIs, and AI/ML tooling. Strong communication skills and commercial mindset. Nice to Have Experience in financial services, quantitative research, trading, or investment management. Exposure to LLMs, AI agents ...

your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach … analysis of collaboration and audit artefacts. Competence with scripting or automation languages (e.g. PowerShell, Python, SQL) for forensic workflow optimisation. Exposure to AI and machine learning applications in forensic and eDiscovery contexts (e.g. triage, clustering, anomaly detection, generative summarisation).Experience integrating forensic outputs within wider eDiscovery, incident response ...

/Azure)Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systemsAbility to build alignment … pipelinesLow-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemonsFamiliarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systemsContributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)Skill ...

Defining engineering standards, data models and best practice·Driving CI/CD, automation and modern engineering practices·Collaborating with AI engineers to productionise machine learning and AI solutions·Exploring how AI can enhance engineering productivity, quality and deliveryWhat you'll bring·Strong experience with Python and SQL·Expertise … data products solving real business challenges·Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouragedIf you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology ...

data requirementsDesign, develop and implement data solutions using DatabricksEngage with senior stakeholders on decision-makingTranslate complex business requirements into practical Data Driven/ML/AI solutionsRapid Prototyping to Production: Translate ambiguous business problems into functional technical solutions to de-risk high-stakes client initiativesArchitect and deliver … Embed directly with client/EPAM engineering teams to build data pipelines, Streaming/Batch Architectures and Medallion Designs, and production-grade AI/ML systems on DatabricksLead delivery teams to ensure successful project outcomes and client satisfactionBuild and maintain strong client relationships, acting as a trusted advisorDrive revenue within ...

experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction or classification. Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis. Experience developing scalable, user … bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic ...

share best practices at scale, including through the creation of technical content and reference architectures, for a variety of use cases, e.g., Artificial Intelligence & Machine Learning, Serverless and Container-based architectures, Analytics and Big Data, DevOps, and Security. You will have the support to grow your expertise … features or write a blog post sharing best practices. Throughout the day, you'll balance relationship-building with technical work, continually learning to keep up to date with evolving technologies. About the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications ...

advancements in generative and agentic AI.Mandatory Skills Strong expertise in Generative AI technologies. Proven experience with Agentic AI frameworks and methodologies. Solid understanding of machine learning algorithms and data structures. Experience in designing scalable AI architectures. Proficiency in programming languages such as Python, Java, or similar. Preferred Skills ...

Software DeveloperExperience with Azure cloud technologies. Knowledge of microservices and event driven architectures. Experience working within UK Public Sector environments. Exposure to AI or Machine Learning technologies. If you are interested in this Senior Software Developer opportunity, please apply with a copy of your most up to date ...

clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams. Take ownership of data governance, security, monitoring and platform costs. Line-manage, develop and help grow the Data ...