426 to 450 of 3,223 Machine Learning Jobs in the UK

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 ...

part of your day‐to‐day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI‐assisted operations, and responsible AI practices. The Cloud Architect is a subject matter expert in one or more categories that … vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI‐assisted cloud operations. Experience with cloud ...

looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business. This is an opportunity to join at the beginning of the platform's journey. Rather than inheriting … Engineering Lead and fellow senior engineers. About You AI Platform Engineering 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems. Experience designing and deploying enterprise AI applications into production with a strong focus on scalability ...

About The Company AVT Reliability is a leading condition monitoring company providing engineering and reliability services worldwide. Machine Sentry is AVT's flagship condition monitoring platform, deployed across thousands of sites globally to help customersmonitorasset health and improve reliability. Job Purpose We areseekinga versatile and pragmatic Software Engineer … Machine Learning) to join the Machine Sentry development team. As a small, highly collaborative team, the successful candidate will contribute across the entire technology stack whilst helping drive the adoption of AI and machine learning within our products. Whilst AI and machine learning ...

Data Scientist Job Title: Data Scientist Type: Fix Term Contract Work Pattern: Hybrid (2-3 days per week in office Sector: Data Science | Machine Learning | Advanced Analytics Duration: 06 MonthsPay: £500 to £750 per day Inside IR35 Location: Welwyn Garden City and London About the Role … seeking a talented Data Scientist to develop and deploy machine learning solutions that directly influence business decisions, enhance customer experiences, and improve operational efficiency. You will be responsible for translating complex business challenges into scalable data science solutions, building and deploying robust machine learning models ...

technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects are expected to build … building data platforms, or deploying AI‐powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem. In this role you will practice creativity, link technology to tangible solutions and educate ...

projects AI & Automation Development Design and implement Python-based automation scripts for keyword research, rank tracking, backlink analysis and competitor monitoring Integrate AI/ML models (e.g. NLP for content optimisation, clustering for keyword grouping) into SEO workflows Build APIs and data pipelines to connect SEO tools, analytics platforms … link-building strategies Familiarity with Google Search Console, Google Analytics and major SEO tools (Ahrefs, SEMrush, Screaming Frog, Search Atlas, Surfer SEO) AI & Machine Learning Experience applying NLP, clustering or predictive modelling to SEO or marketing data Familiarity with frameworks like scikit-learn, spaCy, TensorFlow or Hugging Face ...

/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 3 years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows. Practical experience with Large Language Models (LLMs … different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate ...

Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. What you will be doing Focus on the hardening of environments and ensuring policies are planned and enforced Implement and advocate ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based … decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality ...

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...

Data Control Manager, you will help shape the future of data, privacy, Artificial Intelligence/Machine Learning (AI/ML) governance, analytics management and operational risk at JPMorganChase. You’ll join a collaborative, agile team where your expertise is valued, your voice is heard, and your career ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE.... Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE. Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE.... Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

role involves designing scalable systems from the ground up, playing a critical role in building the data foundations that support AI products, analytics capabilities, machine learning workflows, and large-scale operational systems. You will work closely with AI engineers, backend developers, and product teams to ensure data … operational and AI workloads. Develop and manage batch and real-time data processing pipelines. Build and optimise systems for vector search, data retrieval, and machine learning workflows. Ensure data reliability, security, governance, and compliance across the platform. Collaborate closely with AI and backend engineering teams to support model ...

Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. What you will be doing Focus on the hardening of environments and ensuring policies are planned and enforced Implement and advocate ...

lead, develop, and empower our Data and AI teams. This role balances leadership with technical excellence; you’ll define how data, analytics, machine learning, and generative AI enable the wider business. You’ll work closely with senior stakeholders, translating business objectives into a clear Data and AI strategy … measure the impact of Data and AI initiatives, data quality, model performance, adoption, and team effectiveness Drive best practices across data engineering, analytics, machine learning, data governance, experimentation, model monitoring, and responsible AI Ensure that AI solutions are robust, explainable, compliant, and aligned to business outcomes Support career ...

innovation, and ensure our systems remain reliable and future‐ready. Job Responsibilities Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems. Write secure, high‐quality code in Java, applying best practices for AI and data engineering. … applications. Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals. Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts and recent applied experience in software development. Deep expertise ...

Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution … solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past ...

Engineer – Defence Consultancy (6-Month Contract) A defence consultancy is seeking an experienced AI Engineer to design, develop, and deploy machine learning solutions for secure, mission-critical environments. You will work across the full development lifecycle, from initial design to model deployment, optimization, and production support. Position Type … Month Contract Security Requirement: Must hold an active SC-DV Clearance Key Responsibilities Development: Design and build AI-enabled applications using Python, machine learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps ...

Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various … quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

data, and innovation testbeds. Your role will involve analysing and visualising data; developing analytical models and prototypes; supporting the application of artificial intelligence and machine learning techniques; and communicating findings to both technical and non-technical audiences through reports and presentations. You will work as part of multidisciplinary … teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities Proven experience in applying data science in an industry ...