276 to 300 of 853 Machine Learning Jobs in the UK excluding London

complex programmes. This is a senior position combining technical leadership, research direction, and engineering assurance , suited to someone with strong depth in AI/ML and experience leading R&D activity. You will lead the technical delivery of large AI projects, guiding multidisciplinary teams working across areas such as reinforcement … relevant discipline (e.g. AI, machine learning, data science, computer science, or related field) Significant experience (~10+ years) applying AI/ML within research or industry environments Proven experience leading or contributing to R&D teams or technical workstreams Strong experience delivering or overseeing technical outputs , including reports, proposals ...

help employees understand AI implementation. What You'll Bring Currently enrolled in an undergraduate or graduate program in Computer Science, Data Science, AI/ML, or a related discipline. Active GitHub profile with at least one substantive AI or machine learning project. At least one prior project using …/ML tools or techniques (academic, personal, or professional). Previous internship or work experience in a business or technology environment. Strong communication skills — able to bridge technical and non-technical conversations. Personable, enthusiastic, and naturally able to teach diverse stakeholders about AI topics. Comfort with Python and familiarity with ...

reusable solutions. Support and mentor team members across the wider Data team. Work closely with agile teams to deliver data products that support machine learning and AI projects. Help business stakeholders understand technical solutions and project goals. Support data governance through testing, documentation, and quality checks. Keep … Jenkins. Experience with orchestration tools such as Airflow. Knowledge of BI and visualisation platforms such as Tableau. A mindset focused on learning, improvement, and software engineering best practices. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which ...

environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading technical delivery across projects Driving adoption of GenAI, RAG, and agent-based systems Acting as the SME for ML engineering ...

Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard ...

front-end web applications for Cairn Discover, analyse, and present findings to users and stakeholders Build, maintain, and support our wider data platform, machine learning and AI solutions using the latest best practices in DevOps and CI/CD Produce high-quality communications, documentation, and presentations of solutions ...

assets, building acquisition, orchestration, data pipelines and curated data marts and data egresses. We are seeking to mature our advanced capabilities with standardised practices, machine learning and agility needed to pro-active detect and respond to new public health issues. You will be involved in the delivery lifecycle ...

Python ML Engineer - Glasgow - Hybrid - Inside IR35 Day Rate - £460 Duration - 12 months Harvey Nash's FS Client have a requirement for a Python ML Engineer, you will support the team in delivering 2 major projects in the Backup Engineering team. Strong Python and Machine Learning experience ...

given. The role would suit someone early in a career in data or AI who wants to combine real life experience with the learning process of an apprenticeship. We want to bring people into our team who can start to learn about our solutions, how they work … will need the following skills: Computer literacy to a good standing. Any elements of qualification or self-learning with the AI and ML environments or working experience with a data or AI setting would be seen as an advantage. Having worked with, or had exposure to, Python would ...

trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions … Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions … Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Optimise system performance and reliability for high-volume data operations across distributed environments. • Implement secure, compliant … DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift ...

field, and under pressure. ## The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push ...

engineering practices Experience working in Agile/Scrum environments Exposure to tools such as Airflow/Composer and Azure DevOps Understanding of AI/ML tooling such as Vertex AI Desirable Experience with BI/visualisation tools (e.g. Looker, MicroStrategy) Knowledge of data modelling approaches such as Kimball Familiarity with ...

platforms Contribute to modern data architectures and engineering standards Deliver cloud-native data solutions using industry-leading tools Collaborate closely with analytics, AI/ML, and product teams Grow rapidly within a technically strong, delivery-oriented environment Your Responsibilities As a Data Engineer , you will: Build, optimise, and maintain scalable ...

with colleagues across business units to translate needs into practical AI-enabled solutions. Required Skills & Qualifications: Proven experience developing, tuning, and deploying AI/ML models using frameworks. Experience with Azure AI Foundry Hands-on experience with agentic AI tools and orchestration frameworks. Proficiency in Python and familiarity with … Awareness of data governance, secure handling of sensitive data, and regulatory considerations. Knowledge of MLOps/DevOps practices, including CI/CD pipelines for ML models. Understanding of reinforcement learning, multi-agent systems, or advanced optimization methods. Previous experience working in regulated industries is advantageous. In the first instance ...

years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We are hiring Forward … contributions. A founder's mindset and genuine appetite for ambiguous, high-impact technical challenges. Bachelor's or Master's in Computer Science, Machine Learning, or a related technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML ...

Python, Node.js, C++). • Develop clean, responsive front-end interfaces using frameworks like Vue.js or React • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards. • Contribute … DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift ...

annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems ...

data modelling and data transformation Experience working in Agile or collaborative team environments Strong analytical and problem-solving skills Desirable Experience Exposure to AI, machine learning, or advanced analytics Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of data warehousing or big data technologies Interest ...

Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation ...

Hands-on experience with dbt, Dataform or equivalent transformation and orchestration frameworks. Experience with Terraform or equivalent infrastructure-as-code tooling. Familiarity with statistical, ML or AI concepts, and ideally with building data layers that feed RAG pipelines, agents, or LLM-based applications. Comfort with vector databases, embeddings or semantic ...

practical experience. Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact ...

specialist AI & Machine Learning team building modern credit risk and decisioning models. The focus is on moving beyond traditional scorecards to advanced ML and AI techniques applied to real-world lending problems. Key Responsibilities Build and enhance credit risk and lending models Apply ML and AI techniques including … predictive modelling, clustering, segmentation, and transformer-based models Modernise legacy models using Python-based ML approaches Collaborate with product and engineering teams to deploy models into production Required Experience Background in banking, fintech lending, credit bureaus, or consulting with lending experience Hands-on experience building credit risk models Strong Python ...

Data Lake and Synapse environments Data pipelines and ETL/ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services Alongside delivering hands-on engineering work, youll mentor Data Engineers and Power BI developers … data modelling ETL/ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure DevOps API integrations Exposure to AI, ML or Copilot-enabled initiatives Just as important are communication skills, curiosity and the ability to work collaboratively across teams. Why Join? £60,000 - £70,000 salary ...