1 to 25 of 37 Machine Learning Jobs in Lancashire

reliability, and performance Partner closely with data scientists to turn experimental models into well-engineered, production-ready systems Develop and maintain end-to-end ML pipelines, including feature engineering, training, evaluation, versioning, monitoring, and automated retraining Contribute to MLOps capabilities, including CI/CD pipelines, model registries, infrastructure automation … fairness analysis, and performance optimisation Collaborate with data engineers and architects to enhance data quality, data flows, and platform capabilities Lead experimentation using modern ML frameworks to assess new algorithms and technologies and make recommendations on adoption Support model governance processes, ensuring compliance with internal standards, documentation, transparency, and regulatory ...

model capability. THE ROLE As a Staff Machine Learning Engineer you will... Lead the design, development, and deployment of end-to-end ML solutions. Architect scalable ML systems and pipelines that integrate seamlessly with cloud infrastructure. Mentor engineers, championing best practices across coding, experimentation, and MLOps. Collaborate with … Product and Engineering teams to define priorities and model strategy. Apply deep learning, NLP or classical ML techniques to real-world, high-impact problems. Uphold responsible AI principles across model development and evaluation. YOUR SKILLS & EXPERIENCE The successful Staff Machine Learning Engineer will have: Strong Python skills ...

delivering advanced language and AI solutions to clients. The Role Lead and architect large-scale machine learning projects Build and deploy scalable ML models, pipelines, and systems Mentor engineers and set technical direction across teams Drive innovation through research and adoption of new ML techniques Present technical insights … Machine Learning Engineering or similar senior roles Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong ...

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 ...

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 ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

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 ...

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they're looking … senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You'll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real ...

telemetry Highly desired experience includes: Experience with AI driven operational tooling (triage, runbooks, change management) with strong governance controls. Supporting large scale AI/ML workloads — SageMaker, GPU autoscaling, Kubernetes based model serving. Experience implementing policy as code (OPA) Experience implementing compliance frameworks (CIS, NIST, ISO 27001). Applying ...

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 ...

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 ...

emerging technologies and assess their potential impact. Ensure Compliance: Uphold data privacy, security, and ethical AI practices. Experience needed: Proven experience in AI/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python ...

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 ...

oriented Demonstrated leadership potential Fluency in English, additional European languages are a plus Preferred Qualifications Experience in a multinational company Understanding of AI and machine learning concepts Bachelor's degree What We Offer Competitive salary and commission structure Opportunity to join a rapidly growing, innovative company Comprehensive benefits ...

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 ...

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 ...

environments. Automate Azure platform deployments using Terraform, including: Azure Data Factory Synapse Analytics Data Lake & Storage Key Vault Azure networking and AI/ML services Implement and manage Terraform state, backends, workspaces, and strategies for drift detection and remediation. Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions … multi-environment Terraform estates Proven experience deploying Azure Data Platform services using Terraform: Azure Data Factory Data Lake/Storage Synapse Analytics AI/ML services Strong experience building Terraform-driven CI/CD pipelines using Azure DevOps, GitHub Actions, or similar. Proficiency in PowerShell, Bash, or Python for automation ...

company who are looking for a Head of Engineering to manage a team of 30 technical resources across Data Engineering, Data Science/ML and BI. This is a strategy and management role and will require someone with experience managing large technical teams. What you will do: Lead a diverse … engineering organisation spanning Data, ML, Web, DevOps, and QA to power a platform trusted by major global brands. Architect, enhance, and scale systems that handle enormous search datasets and sophisticated distributed processing. Play a key role in defining how the industry navigates LLM-driven search across platforms like Google, ChatGPT ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...