1,601 to 1,625 of 1,841 Machine Learning Jobs in the UK excluding London

Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional services consultancy that’s taking on the Big Four. Currently in stealth mode and gearing … gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured pipeline design 🔹 Contributing to reusable data engineering components across client and More ❯

world simulations Familiarity with simulation, either practical or theoretical Data modelling experience and/or significant experience working alongside data scientists building AI/ML products Project Management – Must Haves Proven experience leading complex projects and engineering teams in an agile environment Strong collaboration skills with cross-functional teams Experience … and implementation of software projects alongside Data Scientists Ensure the quality and efficiency of the codebase, and support good maintenance practices for AI/ML products Collaborate with product managers and stakeholders to deliver high-quality products Drive continuous improvement in engineering practices Develop new features and maintain current production More ❯

sources and tools to the grand finale of data pipeline implementation and deployment. You will ensure scalability and top-tier performance. Locking arms with ML Engineers, Data Scientists, Architects, and Product/Program Managers. Together, you'll define, create, deploy, monitor, and document data pipelines to power advanced AI solutions. … sources. Expert in large-scale data processing with Spark or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow). Solid in DevOps, CI/CD automation with More ❯

in software development, including code reviews, testing methodologies, and technical documentation. Stay at the forefront of industry trends and emerging technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. … Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming languages. Proven ability to lead technical teams and manage complex projects. Excellent problem-solving skills and analytical More ❯

AV solutions Qualifications and Skills Mandatory: Must understand Trend Deep Security and CrowdStrike Antivirus and supporting modules (i.e…Antivirus or Antimalware, IPS, endpoint protection, machine learning, etc.) 5 years or more of IT experience. Solid understanding of Active Directory groups Solid understanding of Windows OS Solid understanding of More ❯

IT SERVICE DELIVERY MANAGER to join their expanding team. This Company is a business to business and systems development consultancy, optimising automation and implementing machine learning and other application software tools and infrastructure systems for organisations. They have been rated as a world leader in data governance application More ❯

IT SERVICE DELIVERY MANAGER to join their expanding team. This Company is a business to business and systems development consultancy, optimising automation and implementing machine learning and other application software tools and infrastructure systems for organisations. They have been rated as a world leader in data governance application More ❯

a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role: Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the … lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design … cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version More ❯

collaborate and innovate with other engineers to create market-leading products within the defence industry. What we are looking for: Essential: C# software development Machine-to-machine … networking, working to third-party interface definitions Test frameworks and test development (not test-driven development) Microservices architecture/containerisation CUDA integration (AI/ML) Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity with the tools and approaches … Experience with Radar Experience with Luciad Experience with CUAS/Tracking SW Data fusion (video and radar tracks) Thermal/IR imaging AI/ML exploitation What you will get: Flexible working: We offer our employees time and flexibility they need to enjoy a balanced life through flexible hours and More ❯

to understand their challenges. You will then use your experience to advise solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and renowned for offering fantastic opportunities to move up … AI models into client environments and monitor on-going performance, making changes where necessary Be technical expert on projects for all AI technologies including ML and NLP To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and More ❯

infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/ML models, and advanced analytic technologies. Experience with threat detection in Azure Sentinel, Databricks, MPP Databases (Snowflake), or Splunk. Expertise in network, endpoint, and cloud security … cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the … services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in a AI/ML project or programme More ❯

engineers to ensure AI solutions are robust, explainable, and production ready. Applying MLOps and CI/CD best practices You'll contribute to scalable ML workflows that ensure fast iteration, effective monitoring, and smooth deployment of AI features. Working with additional tools and platforms (bonus) Familiarity with Claude, Anzo or … A structured, problem-solving mindset with a focus on scalability and performance. A desire to collaborate in a cross-functional environment , sharing ideas and learning as part of a team. Bonus points for experience with Claude, AWS Redshift, or graph-based systems like Anzo. So, what's in it … deploy scalable applications in production. Exposure to advanced AWS tools and mentorship from experienced AI and cloud professionals. A culture of innovation and continuous learning , where your growth is supported. A collaborative, inclusive , and impact-driven environment where your ideas are valued. More ❯

Type: Full-time. About the company & role for Full Stack Engineer (Team Lead) Our client is building a dynamic digital ecosystem that fosters social learning, problem-solving, and transformative connections. Through their Platform, they empower individuals, teams, and organisations to collaborate, share knowledge, and drive meaningful impact. Committed to … CI/CD pipelines, Git, and containerisation (Docker). Desirable: Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ML integrations or recommendation systems. Expertise in Matrix/Synapse integration for real-time messaging and communication. Knowledge of WebSockets, real-time messaging, and event-driven More ❯

ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). Demonstrated experience in using Azure-based cloud applications, services and infrastructure or significant, transferrable experience with other Cloud Providers (e.g., AWS … a company-wide level. Implementation of storing system-level logs and responding to pipeline failures (including code errors, API statuses, data structure failures, and machine-based failures). Preferred Skills Preferred familiarity with cloud platforms and large dataset tools (e.g., Azure, Databricks, etc.). Ability to work with large More ❯

Airflow, Jenkins, Bitbucket, and Bamboo pipelines. Technical Ownership : Act as a tech owner for software products, liaising with stakeholders and presenting cloud solutions. Continuous Learning : Stay updated with cloud and AI advancements, driving innovation and modern architecture solutions. Qualifications: Bachelor in Science or better in Computer Engineering or related … AWS Lambda, API Gateway, and event-driven architecture. Technical Ownership : Proven experience in architecting IT solutions, managing cloud infrastructure, and working with AI/ML applications (preferred but not required). US Citizenship required for this Position : No Performance Location : Oxford, UK Relocation Assistance : No Clearance Type : None Travel Required More ❯

and performance optimisation. Business domain knowledge across at least two industries (e.g. finance, retail, healthcare). Familiarity with prompt engineering and emerging AI/ML frameworks is a plus. Excellent client-facing communication, leadership, and delivery skills. Leadership & Commercial Focus Lead project delivery while ensuring high technical standards and client … entrepreneurial environment. Work on enterprise-scale solutions with top-tier clients. Competitive salary, benefits, and potential for equity participation. Culture that supports innovation, continuous learning, and career development. How to Apply If you’re ready to take your consulting career to the next level, we’d love to hear More ❯

agentic AI system for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as a player … the technical stuff out the way first, your past experience as an Engineer will include working with: Proven experience in data science, AI, or ML roles with increasing leadership responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs More ❯

to reimagining how people tell stories. About the role Skills : Python, FastAPI, NextJS, React, TypeScript, Cloud Infrastructure (GCP/AWS/Azure), AI/ML frameworks We've built a RAG-based AI platform that's revolutionizing how people create presentations, but our success is outpacing our infrastructure. We need … systems using Python, FastAPI, and advanced database frameworks Develop responsive and efficient frontend components with NextJS, React, and TypeScript Contribute to our LLM and ML services for generating creative content (images, infographics, icons, text) Build and improve scalable infrastructure with microservices on GCP, AWS, and Azure Participate in code reviews More ❯

Strong stakeholder management skills, the ability to engage with diverse teams, and experience in Agile delivery processes will be vital. Experience in AI/ML implementation within an Azure environment would be a great advantage. Wed love to get to know you Is Imposter syndrome creeping in? Dont worry wed … knowledge of the Azure analytics ecosystem and core Azure data technologies. Strong programming skills in C#, SQL, PowerShell, and Python. Experience in AI/ML implementation within an Azure environment. Demonstrable expertise in data strategy development and embedding best practices. Strong stakeholder management skills and experience in Agile delivery processes. More ❯

will continuously improve, collaborate, and innovate to create market-leading products within the defence industry. What we are looking for: Essential C# software development Machine-to-machine networking, working to third-party interface definitions Test frameworks and … test development (not test-driven development) Microservices architecture/containerisation (development of containerised plugins, with potential to replace existing components) CUDA integration (AI/ML) Development of new applications to meet user expectations within formal constraints, including HMI/GUI/UX experience Familiarity with embedded development tools and approaches … e.g., Synergia) Experience with radar systems Experience with Luciad Experience with CUAS/Tracking software, including data fusion, thermal/IR imaging, AI/ML exploitation What you will get: Flexible working hours and part-time options to support work-life balance Flexible benefits tailored to individual needs Above-average More ❯

collaborate and innovate with other engineers to create market-leading products within the defence industry. What we are looking for: Essential C# software development Machine-to-machine networking, working to third-party interface definitions Test frameworks and test development (not test-driven development … Microservices architecture/containerisation (needs funding but we can develop containerised plugins going forward and replace existing in slow-time) CUDA integration (AI/ML) Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity with the tools and approaches … Experience with Radar Experience with Luciad Experience with CUAS/Tracking SW Data fusion (video and radar tracks) Thermal/IR imaging AI/ML exploitation What you will get: Flexible working: We offer our employees time and flexibility they need to enjoy a balanced life through flexible hours and More ❯

driven product development . Proven track record in building and deploying LLMs, RAG, and GenAI-powered solutions . Strong hands-on experience in NLP, ML, deep learning, and AI architecture . Leadership in managing AI researchers, ML engineers, and data science teams . Experience driving AI adoption and commercialization More ❯

and standards to secure clinical data both in-motion and at-rest. Shape Data Workflows: Utilize Databricks components like Delta Lake, Unity Catalog, and ML Flow to ensure efficient, secure, and reliable data workflows. Key Responsibilities Data Engineering with Databricks: Design and maintain scalable data infrastructure using Databricks. Integration with … lakes to support data analytics and machine learning. Requirements Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. Clinical Data Security: Understanding of protocols and standards for securing clinical data. More ❯

the most senior levels. You'll lead a talented team of just over 20 analysts, data scientists, and managers, driving advanced analytics, AI/ML innovation, and a culture of insight-led thinking across the business. This role is as much about strategic leadership as it is about hands-on … with key business goals and product ambitions. Champion a product mindset and the use of modern data tools and best practices - from AI/ML and experimentation to self-serve analytics and CI/CD. Build scalable, governed analytics infrastructure in partnership with data engineering. Coach, develop, and inspire a … and finance, translating insight into strategic impact. Here's a flavour of what your team might work on in a typical week: Launched an ML-powered model to personalise product recommendations and drive up conversion. Ran an experiment with the pricing team to test behavioural response to incentive-based offers. More ❯

less experienced team members. Managing administrative tasks, including budgets and expenditure. Engaging in teaching activities and related admin as assigned. Staying updated on AI, ML, and Digital Twins advancements. Participating in professional development activities. Undertaking additional duties as assigned. Contributing to the university's international profile in line with strategic … Knowledge, Qualifications, Skills and Experience Knowledge & Qualifications A1: Honours degree (SCQF Level 10) or equivalent in a relevant subject. A2: Knowledge of AI/ML programming and Digital Twins development. A3: Up-to-date knowledge of the subject area. For Grade 7: A4: PhD (SCQF Level 12) and at least … years' postdoctoral experience or equivalent qualifications. Desirable: B1: Recent or near-completion PhD in the subject area. Skills & Experience C1: Skills in AI/ML programming, Data Processing, and Digital Twins. C2: Research creativity and collaboration skills. C3: Excellent communication skills. C4: Strong interpersonal and team skills. C5: Workload, time More ❯