176 to 200 of 959 Machine Learning Jobs in the UK excluding London

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

individuals who enjoy solving problems through automation, have experience integrating tools and workflows, and are curious about emerging technologies such as AI and machine learning . If you're passionate about modern cyber security, cloud technologies and building smarter, more efficient security solutions, this role offers the opportunity … threat hunting, investigations and continuous security improvement initiatives. Contribute to the secure adoption of AI-enabled technologies and identify opportunities to leverage automation and machine learning within security operations. Monitor emerging threats and help implement appropriate security controls and safeguards. Skills & Experience Essential Good level of experience within ...

implement innovative technology solutions while ensuring appropriate governance and regulatory compliance. Core Responsibilities Technology Innovation: Drive the evaluation, development, and implementation of AI, machine learning, automation, and emerging technologies to improve operational efficiency, service delivery, and innovation across all MMS service lines. Process and Automation Efficiency: Focus … operational excellence, digital transformation, artificial intelligence, or a related field. Significant hands-on experience driving AI strategy, implementing AI technologies, AI agents, automation, or machine learning solutions within an enterprise environment. Strong understanding of artificial intelligence, machine learning, automation technologies, and their practical application to improve ...

implement innovative technology solutions while ensuring appropriate governance and regulatory compliance. Core Responsibilities Technology Innovation: Drive the evaluation, development, and implementation of AI, machine learning, automation, and emerging technologies to improve operational efficiency, service delivery, and innovation across all MMS service lines. Process and Automation Efficiency: Focus … operational excellence, digital transformation, artificial intelligence, or a related field. Significant hands-on experience driving AI strategy, implementing AI technologies, AI agents, automation, or machine learning solutions within an enterprise environment. Strong understanding of artificial intelligence, machine learning, automation technologies, and their practical application to improve ...

public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. … particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. ...

relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You Own the lifecycle of machine learning models, robotics and analytics within Claims, from use case definition and prioritisation through to deployment, monitoring, and retirement. Partner with operational leadership … Essential Skills: Strong knowledge of Claims and the wider UK business. Good understanding of how data is used within operational areas Solid understanding of machine learning lifecycles and production deployment concepts. Ability to constructively challenge models and analytical concepts. Strong stakeholder management across operational, data, governance, and technology ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

same, giving you exposure to a broad range of technologies, engineering challenges and cutting-edge AI applications. If you enjoy understanding how machine learning models work—not just consuming APIs—and you're excited by building robust, scalable AI solutions, this could be the perfect next step. What … have a strong technical foundation. Ideally, you'll have: Strong Python development skills and experience building high-quality software. A solid understanding of machine learning algorithms and AI fundamentals. Experience with one or more of the following: Agentic AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Edge ...

drive both client impact and team growth About the role In this role you will shape and deliver the data science agenda ensuring machine learning and analytics solutions are not only technically robust but deliver real measurable business outcomes for clients. You will sit at the intersection … proposals and engaging with clients Partner with delivery teams and engagement managers to establish consistent ways of working and repeatable approaches Drive adoption of machine learning solutions ensuring sustained client value Build strong relationships with partners such as Databricks Pega and Adobe and contribute to client account growth ...

excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through … hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable ...

activities. Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such … Concepts - ideally in MS-Azure Profile Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such ...

work across the full data lifecycle, helping clients modernise legacy estates, implement scalable cloud solutions and develop the foundations needed to support advanced analytics, machine learning and generative AI capabilities. What you'll be doing Designing and delivering enterprise-scale data, analytics and AI platforms in AWS environments. … batch and real-time streaming data processing. Creating API-first and microservices-based solutions that can scale with business demand. Supporting the adoption of Machine Learning, Generative AI, Foundation Models and Agentic AI approaches within enterprise environments. Advising clients on data governance, security, compliance and responsible AI practices. ...

most innovative insurance brands, where you can take ownership of Data Operations across a large-scale, business-critical data environment supporting analytics, machine learning, engineering and architecture teams. THE COMPANY: This insurance company is continuing to invest heavily in its data platforms, cloud technologies and data-driven customer … operational performance Supporting deployment, release and change management processes Providing regular operational reporting and KPI tracking to senior stakeholders Working closely with Data Engineering, Machine Learning and Architecture teams to ensure seamless data delivery Maintaining governance, audit and regulatory compliance standards Supporting the migration and evolution of large ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

currently possible, and they need security to keep pace with that speed. Reporting straight into the CISO. Think of yourself as the bridge between ML engineering, platform architecture, and security, making sure nothing sensitive gets exposed as the science moves fast. Its still a scaling environment. Theres ambiguity, and youll … Security Engineer, you'll take ownership of security across the AI platform and its agentic systems. Map out the threats specific to AI and ML, and build that into a proper risk framework Decide how model weights, training data, and code get tracked and locked down Build guardrails and sandboxing ...

flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production … about you... Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based ...

exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant … solutions with real-world needs. Ensure that AI solutions are responsible, ethical and align with governance standards. Stay informed on developments in AI and ML, particularly around generative AI, and evaluate their applicability within the organisation. Contribute to a culture of curiosity, experimentation and continuous learning within the team. ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams … Nice to Have Experience with additional GCP services, such as: Cloud Run Cloud SQL Cloud Scheduler Exposure to machine learning workflows (not ML engineering) Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data Please send your ...