1 to 25 of 33 Machine Learning Jobs in Lancashire

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 ...

designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer … customer needs into technical product requirements and delivery specifications Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration ...

Virtual Agent - our conversational interface that helps colleagues get support quickly through automated chat - used by around 120,000 colleagues. You'll use machine learning, analytics and data engineering skills to solve complex problems, reduce manual effort, and directly influence how services perform at scale. This role offers … need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome Familiarity with Jupyter ...

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 ...

communicator able to explain risk simply and gain alignment across senior stakeholders. Industry certifications a plus: CISSP, CCSP, GIAC, OSCP, or specialised AI/ML security credentials What’s in it for you? – Our client loves to reward their people for doing a great job. This is 6 months contract. ...

vision for smart, scalable prevention and detection.Translate regulation and risk into efficient, automated, and customer‐focused controls.Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations.Deliver clear, strategic insights to executive and board‐level forums.Drive consistent control ownership ...

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 ...

control systems - from concept through to implementation. You'll develop SCADA systems, program PLCs, create and enhance advanced control techniques (including PID, AI, and machine learning approaches), and support instrumentation and inspection tools used across global manufacturing sites. You'll collaborate with cross-functional R&D and production … systems. The Role: *Developing and enhancing process control systems from concept to implementation *PLC programming, SCADA development, and advanced control techniques (including AI/ML) *Delivering instrumentation and inspection solutions to support global operations *Providing technical support, system upgrades, and occasional overseas travel The Person: *Experience in industrial process control ...

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 ...

vetting) cleared or eligible to undertake DV Security Clearance. During this role you will be working to migrate to Cloud. You will be leveraging Machine Learning. Essential skills: Cloud Skills: AWS Solutions Architect Certification Experience: Linux, AWS, Elastic Search, Open Search, Terraform, DevOps, Software Engineering Programming Languages: Java, TypeScript ...

owners, stewards, and engineers to ensure accurate and complete metadata capture Drive integration of metadata platforms with data catalogues, DQ tools, and AI/ML applications Provide strategic input on the future of metadata management in the context of AI acceleration Champion innovative approaches to data discovery and lineage, including ...

enhance process control systems from concept through to implementation. PLC programming, SCADA development and advanced control techniques from PID loops to AI and machine learning. Develop and implement inspection systems and instruments to maintain top-tier product and process quality. Partner with R&D and production teams to identify ...

insights, this role offers genuine impact and ownership. THE COMPANY They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed … infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands-on where needed while setting long-term technology direction. SKILLS AND EXPERIENCE The successful Head of Data and Infrastructure ...

music and investment-led organisations use their data. The Company They are a young and ambitious data consultancy focused on data engineering, automation, and machine learning. Their clients span private equity backed organisations and the music industry, helping them turn fragmented, manual processes into scalable, data native environments. With … based workflows. * Consulting mindset with the ability to run workshops and engage with senior stakeholders. * Experience leading, mentoring, or growing teams. * Exposure to machine learning or predictive use cases is beneficial. * Experience in the music industry is a bonus but not essential. What They Offer * The opportunity ...

doing Responsibilities vary by project, but typically include: Designing and building AI-powered systems using Python, TypeScript, or similar Working with LLMs and traditional ML models to solve real-world problems Supporting solution and architecture design for AI systems Collaborating directly with clients to understand requirements and constraints Participating … junior to mid-level who wants to grow quickly in applied AI. Essential: A solid understanding of AI fundamentals, including modern LLMs and traditional ML Ability to contribute technically when needed (coding, prototyping, or technical explanation) Experience working with stakeholders or clients, or a strong interest in doing so Clear ...

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 ...

.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 - 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 ...