1 to 25 of 47 Machine Learning Jobs in Newcastle upon Tyne

seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong … into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance, resilience, and explainability Contribute to MLOps best practices, model governance, and technical standards Support ...

Software Developer – AI & Machine Learning Systems Location: Newcastle upon Tyne The opportunity Our client is a newly established technology and consulting venture backed by a global management consultancy and a leading alternative investment firm. Built in Newcastle city centre, the business is focused on designing and delivering high … performance software, AI solutions, and machine learning models for complex, data-driven environments within Financial Services and adjacent markets. This is an environment for engineers who want real ownership. You will work on demanding problems, contribute directly to AI-enabled products, and collaborate closely with users and stakeholders ...

looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components … making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You'll Do Lead the design and production integration of ML components into ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering … semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent ...

Working On Production MLOps pipelines for training, evaluation, and deployment LLM-powered workflows for planning, site intelligence, and decision support Graph-based ML models linking spatial, regulatory, demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering … market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed ...

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on experience with … SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‐driven applications. Prepare and structure data for dashboards, reporting, and machine learning solutions. Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems. Manage CI/CD deployments and version … Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt, Power BI, or similar data analytics tools. Understanding of machine learning, AI integration, and vector databases. Interest in UI design or Agile project delivery. Additional language proficiency is a plus. Why Join This ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities include: Designing, building, and deploying data pipelines, analytics platforms, and AI/ML solutions for Defence and National Security clients. Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic … Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering, and production ML workflows. Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms. Understanding of DevOps/MLOps practices, CI/ ...

cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have Databricks certifications (Associate or Professional). Experience supporting asset-heavy or industrial environments. Background in energy, utilities ...

Hireshire Hireshire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We're now expanding into the AI/ML and Cloud Engineering space and are looking for curious, driven, and analytical minds. Role Overview As a DevOps Engineering Intern at Hireshire, you will collaborate ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

management. Familiarity with third-party/vendor risk management platforms and frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards). Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection). Experience working with enterprise B2B customers, especially security teams, procurement ...

across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud … managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. ...

speech systems NLP, chatbots, or conversational AI Experience building AI systems for contact centre or customer operations environments Strong understanding of deploying and operating ML systems in production Solid grasp of system architecture, scalability, and microservices principles Confident technical leader with the ability to guide engineers and influence stakeholders Clear … pragmatic communicator with a delivery-focused mindset Desirable (Not Essential) Experience with PyTorch, TensorFlow, or similar ML frameworks Exposure to MLOps, model monitoring, or AI performance optimisation Frontend collaboration experience (e.g. React-based systems) Cloud-native or containerised deployment experience Why work for us? Lead the development of AI-driven ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

Understanding of public sector security and compliance requirements (for example NCSC guidance, DSPT) Nice to Have Experience supporting data platforms, analytics, or AI/ML workloads on OpenShift Exposure to GitOps tooling (for example Argo CD) and Infrastructure as Code Experience working in highly regulated or mission-critical environments Strong ...

strong engineering practices. • Demonstrable experience designing and implementing data governance and data quality frameworks with measurable business impact. • Practical familiarity with AI/ML: identifying valuable use cases, assessing data readiness, working with specialists and ensuring responsible deployment and monitoring. • Excellent communication skills, able to translate technical concepts ...

assisted coding). Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty and statistical significance). Ability to turn ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...