426 to 450 of 1,189 Machine Learning Jobs in the UK excluding London

with the ability to work hands-on where required. Experience designing integrations across multiple enterprise platforms, APIs and external data sources. Knowledge of AI, machine learning or Large Language Model use cases within operational environments. Ability to operate across strategy, architecture and delivery while remaining pragmatic and outcome ...

skills for querying relational databases. Experience using AI-assisted coding and workflow tools to support reproducible data analysis, with appropriate human review Experience applying machine-learning methods to text classification, named entity recognition, or information extraction Experience with Git/GitHub/GitLab Experience with cloud platforms, especially ...

line of code, but you understand the platform end-to-end and own outcomes. You'll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. Job responsibilities Own application governance and records ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases and knowledge engineering solutions. Experience implementing data mesh or data fabric architectures. Enterprise Architecture experience. Experience leading ...

approach JSON/XML response validation Hands-on AI Experience Hands-on experience integrating AI into testing workflows Understanding of AI/ML testing challenges and solutions Experience with AI-powered test generation or analysis tools ADDITIONAL REQUIREMENTS Strong experience in software testing and automation Strong understanding of CI/ ...

Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or 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 ...

development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly ...

deploying LLM-based applications into production environments. We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure … level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation. You must have proven experience working with ...

cloud-native environments, including Docker, Kubernetes, and public cloud platforms such as AWS and/or Azure. Exposure to large language models (LLMs), machine learning concepts, or systems that incorporate AI-driven capabilities to improve productivity, automation, or risk insight generation. Ability to leverage AI-assisted development tools … accelerates speed, agility, and value. We also invest in you. At Allstate NI, your career growth matters. You'll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities. Whether you're deepening technical expertise ...

successful candidate will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, they will design and build modern machine learning and AI services that support analytics and improve products across the business. It’s a chance to work on a very modern … performance of data components. Improving engineering processes across the wider data community. Promoting high coding and data practice standards. Experimenting with emerging data, ML and AI technologies. Partnering with architects on data product designs. Working collaboratively in multi-functional agile squads. Supporting ML and GenAI infrastructure and workflows. Key Requirements ...

operations. Designing and implementing high‐performance optimisation algorithms and production‐grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi‐stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks … across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping ...

real value You’re comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You’re pragmatic, adaptable and outcome-focused You enjoy sharing knowledge and helping … from various sectors. Your responsibilities: Develop pipelines that bring data to life for decision-making, either delivering insight or for more sophisticated AI & machine learning applications Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information, and an understanding of data ...

Azure, AWS, BigQuery or similar technologies. Experience with modern orchestration and transformation tools. Experience working within regulated or highly governed environments. Experience supporting analytics, machine learning or operational data products. Knowledge of data governance, access management and security best practices. Why Veygo? At Veygo, we're here … success. 33 days' holiday (including bank holidays), increasing with service, plus the option to buy or sell up to five additional days. Ongoing learning and development, leadership programmes and opportunities to grow your career across Admiral Group. Flexible hybrid working, with most colleagues spending one or two days ...

firms across personal injury and clinical negligence. Fletchers is one of the UK’s largest and fastest-growing consumer law firms. We began using machine learning in real legal work back in 2017 and then went on to build what we think was the first dedicated AI team … Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, 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 a Lead … ambiguous, high-impact technical and commercial challenges. Willingness to travel to client sites as engagements require. Bachelor's or Master's in Computer Science, Machine Learning, or a related technical discipline. Bonus Skills/Experience Life sciences or healthcare domain exposure—clinical, commercial, regulatory, or R&D. Background ...

technical sales engineering or software engineering with cloud-native architectures. Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure. Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators. Preferred qualifications: Direct experience as a startup Founder, Co-Founder … community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML. Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications. Ability to communicate in English and French fluently to communicate in this customer-facing sales ...

journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes. You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science ...

Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging ...

Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine learning or AI workloads What's on Offer Salary up to £75,000 depending on experience Generous benefits package Hybrid working (London-based ...

This could include experience with technologies such as: Azure AI Foundry Azure OpenAI Microsoft Copilot Large Language Models (LLMs) AI-powered analytics Intelligent automation Machine Learning services You don't need to be an AI specialist, but you'll be able to demonstrate practical exposure to AI technologies ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI‐enabled development patterns ...

integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with DevOps and Site Reliability Engineering principles Preferred qualifications, capabilities, and skills Familiarity with VMware, OpenShift, Hyper ...