1 to 25 of 37 Machine Learning Jobs in Newcastle upon Tyne

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating ...

systems that optimise ad selection, campaign performance, and creative personalisation at a global scale. You will work in a highly collaborative environment with ML scientists and software engineers to deliver impactful solutions for the advertising domain. In this role, you will: Design, implement, and maintain large-scale machine … engineering, model training, validation, and deployment. Build real-time and batch data processing systems to support ad targeting, campaign optimisation, and experimentation. Collaborate with ML scientists and software engineers to integrate ML models into production systems and deliver measurable business impact. Develop APIs and services that enable ML-driven advertising ...

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 ...

/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. ...

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 ...

within commutable distance of Bristol) Employment Type: Full-time Experience Level: Senior Salary: £80k - £100k About the Role We are seeking an experienced Senior ML & AI Developer to lead the design, development, and deployment of machine-learning and AI-driven solutions. In this role, you will take ownership … direction, and mentor less experienced team members while working closely with engineering and product teams. What You'll Do Design, build, and deploy scalable ML and AI solutions for production environments. Lead model development, evaluation, and optimization across supervised and unsupervised learning use cases. Collaborate with backend and frontend ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

seeking a highly skilled Data Scientist/Machine Learning Engineer to Join our client for a 3-month initial contract, with an immediate start. The role is Inside IR35 and offers a competitive day rate of £600–£700 DOE. You will be working on a cutting-edge generative … will have experience preparing data for LLMs and GenAI workloads, with strong technical ability in handling unstructured data and converting manual processes into structured, machine-readable formats. Experience working with secure or sensitive datasets and existing active SC clearance is essential. Key responsibilities include analysing and structuring messy datasets ...

technologies, libraries, and tools where appropriate. AI & Automation: Integrate AI and machine-learning powered features into backend systems. Collaborate with AI/ML specialists to deploy and maintain intelligent services. Stay up to date with emerging AI trends and identify opportunities for automation and optimization. Qualifications 5+ years … . Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, data pipelines, or integrating large language models/APIs. Strong problem-solving skills and the ability to translate complex requirements into scalable solutions. Excellent ...

Have MSc or PhD in Computer Science, Data Science, Engineering, or related field Experience in financial services, particularly credit markets or investment management Classical ML/AI capabilities (gradient boosting, time series forecasting, anomaly detection) What They Offer Competitive Package - Base salary, discretionary bonus, generous pension, comprehensive benefits, and daily ...

backend services that support complex modelling work. Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments. Training, tuning and deploying machine learning models into production. Creating processes for robust data extraction, transformation and management. Integrating new solutions with existing systems and ensuring smooth deployment. ...

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 ...

Digital Operational Resilience Act (DORA) ETL testing with Azure Data Factory and advanced proficiency in SQL Experienced in advanced AI/ML approaches for improving quality efficiency Senior QE/QA leadership experience within Banking or Financial Services Proven ownership of enterprise quality strategy (not just delivery) Strong experience across ...

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. ...

motivated, able to own and independently manage large projects Desirable Skills: * Familiarity with Full stack development including Vue3, Typescript and Django AWS EKS deployments Machine learning model development Agentic AI pipeline development Some understanding on mechanical design processes and tools, specifically FEA and CFD for aerothermal design. Including ...

enterprises solve their biggest workforce challenges: skills gaps, internal mobility, and retention. We replace static spreadsheets with a dynamic, 'skills-first' engine that uses machine learning to map career paths and match employees to opportunities. It's personal for us – most of our team have faced and overcome ...

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 ...

Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs, and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You'll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that's pushing boundaries in autonomous AI What You'll Need: A strong foundation in data science and machine learning Hands ...

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 ...

Engineering experience Technical Leadership experience Track record of building systems that handle millions of operations with sub second response times Background with AI/ML platforms Regulated industry experience What's On Offer Competitive salary and a meaningful equity stake in a fast-growing company with huge potential. Comprehensive health ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's Proven record … publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier conferences. ...

enterprises solve their biggest workforce challenges: skills gaps, internal mobility, and retention. We replace static spreadsheets with a dynamic, 'skills-first' engine that uses machine learning to map career paths and match employees to opportunities. It's personal for us – most of our team have faced and overcome ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...