1 to 25 of 34 Machine Learning Jobs in Lancashire

iteration Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows Improve the scalability, reliability, and performance of existing ML systems Review code and architecture, setting a high engineering standard Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What … Learning Engineer/AI Engineer in a product-led environment Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

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 ...

Machine Learning Engineer - Research Team Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating … testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience. Key Responsibilities Design and implement ML models for anomaly detection in video streams and gameplay data. Apply computer vision and video analysis techniques to identify irregularities and bugs. Explore advanced methods such ...

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 ...

Senior AI Engineer - 2 days Manchester You will be responsible for designing and delivering production-ready AI and ML solutions that drive business value. This role focuses on building scalable data pipelines, deploying machine learning models, and embedding AI into products and decision-making. Responsibilities Build and maintain …/ML pipelines Develop, deploy and monitor machine learning models Apply MLOps best practices including CI/CD Collaborate with data, analytics and engineering teams Ensure data governance, security and responsible AI Experience Strong experience in ML engineering and data pipelines Python, SQL and Git proficiency Hands ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...

quality, and security Translate complex analytical findings into clear, actionable recommendations for stakeholders Stay current with emerging trends and technologies in data analytics and machine learning Help develop and maintain dashboards and reports to monitor key performance indicators Optimize data collection procedures and refine data analytics processes … degree preferred 3+ years of experience in data analytics, with a proven track record of leading successful projects In-depth knowledge of statistical analysis, machine learning, and predictive modeling techniques Experience leading and mentoring teams of data analysts Excellent project management skills with the ability to manage multiple ...

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 ...

SAFe practices. Excellent stakeholder management and communication skills. High attention to detail and ability to manage multiple priorities. Desirable Skills Exposure to AI/ML-enabled products or data-driven solutions. Awareness of Azure services, particularly Azure AI/OpenAI. Experience with insurance or legal processes. Familiarity with Azure ...

self-funded, independent AI group, focused on building a new consumer AI application with global impact. We're assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction … zero-to-one technical problems end-to-end Nice to Have Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer) Contributions to open-source ML libraries Background in scientific computing, compilers, or GPU kernels Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience ...

deliver robust technical solutions. Contribute to modernisation efforts, including: Migrating from Elasticsearch to OpenSearch . Moving capabilities to AWS cloud . Leveraging AI and machine learning to enhance search capabilities. Essential Skills AWS Solutions Architect Certification . Strong experience with Linux , AWS , ElasticSearch/OpenSearch , Terraform , and DevOps … support team members. Why Join Us? Be part of a dynamic team driving critical modernisation projects. Work with cutting-edge technologies, including AI and machine learning. Collaborate with diverse stakeholders and technical specialists. Opportunities for growth and development in a vibrant product group. These contract roles will require ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

next Cloud infrastructure experience - Ideally Azure first. You should be able to stand up and manage infrastructure, not just write application code. AI/ML awareness - You don't need to be a researcher, but you should have an interest in how to integrate LLMs, work with embeddings/vector ...

provide clear risk/quality narratives. Strong automation background and CI/CD integration experience. Experience across web, APIs, data platforms and AI/ML products. Excellent stakeholder management and crisp, risk-based communication. ISTQB Advanced (or equivalent) desirable; Agile delivery experience essential (SAFe preferred). Our Current Landscape: Jira ...

Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential: - Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams ...

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 ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

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 ...

weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop … with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such ...

people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved ...

others optimize labour planning, scheduling, budgeting, time and attendance, task execution, and fresh operations through advanced forecasting, AI/ML optimization, and operational best practice. Retailers rely on Logile to drive productivity, improve colleague engagement, reduce costs, and deliver better customer experiences. Role Overview We are seeking a Solution Consultant ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...