1 to 25 of 29 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 ...

Remote - Europe Staff/Lead Machine Learning Engineer We are working with a global languages and translation company. They are focused on designing, developing … deploying cutting-edge machine learning solutions across the company. Responsibilites: Leadership of technical projects Mentoring junior members of the team Architecture of ML solutions Fine tuning LLMs Presenting technical insights Skills: Ability to write and produce production-grade code in Python Experience with TensorFlow, PyTorch and Scikit-learn ...

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 ...

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 ...

latest security and software life cycle patterns. Standard Technical Skills & Competencies: Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems, including data pipelines, model APIs, and supporting infrastructure. Hands on expertise with core cybersecurity technologies, such as Firewalls, SIEM platforms, IDS/IPS, and related … major cloud platforms such as AWS and Azure. Working knowledge of machine learning concepts, data processing techniques, and common AI/ML frameworks (eg, PyTorch, Scikit learn, LangChain) - considered a strong advantage. Threat Analysis & Vulnerability Assessment: Conduct regular threat assessments to identify vulnerabilities in AI/ML systems. ...

Engineer role within the AWS public cloud is both dynamic and forward-looking. Alongside developing strong technical skills across AWS core services, AI/ML platforms, and cloud-native tooling, engineers learn to diagnose complex issues, analyse model and pipeline behaviour, report incidents, and clearly communicate solutions that enable data … support scalable AWS-based AI architectures that deliver seamless support for users, developers, and stakeholders. Develop a strong foundational understanding of AWS, AI/ML services, and cloud operations, supporting progression into advanced cloud, data, or machine learning engineering pathways. Create specialist AI support engineers with subject matter ...

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 ...

Databricks-centric environment at scale. THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive ...

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 ...

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 ...

involved in the following: Own the execution of the engineering roadmap across all core products and drive architectural decisions for distributed data processing, ML pipelines and modern web systems. Ensure systems scale to support large datasets and evolving GenAI workloads. Champion engineering excellence including testing, observability, documentation and incident response … stability in fast-moving product areas. SKILLS AND EXPERIENCE The successful Head of Engineering will have the following skills and experience: Confidence operating across ML delivery, GenAI and distributed data. Cloud experience - ideally AWS. Understanding of Spark, Databricks or similar data technologies Knowledge of modern web (TypeScript or React ...

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 ...

.NET Developer - Lancaster (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

.NET Developer - Fastest Growing Social Media Firm - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client's ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer)In just over 5 years ...

.NET Developer, .NET 10.0 - Social Networking Site - Preston (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

scale while working on genuinely complex technical challenges. You'll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients. THE COMPANY: This is a business built on innovation, stability, and genuine technical … excellence. Recently recognized for cutting-edge GenAI data work, they're operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology. THE ROLE: Own and execute the engineering roadmap Drive architectural decisions for distributed data processing, ML pipelines, and web architecture Ensure ...