1 to 25 of 29 Machine Learning Jobs in Lancashire

Machine Learning Engineer Day rate - £420 per day (Inside IR35) Contract length - 6 months (extensions for up to 2 years) Hybrid working - x2 days per week in Manchester Spencer Rose are partnered with a leading Financial Services organisation who are currently on the look out for AI Machine Learning Engineer to design, build and deploy enterprise scale AI solutions. Within this role, the AI Machine Learning Engineer will work with cutting edge technologies including LLMs, Agentic AI, RAG, PyTorch and Kubernetes, to deliver production ready applications. The AI Machine Learning Engineer will ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … team, with some guidance and direction from seniors. Bring experience in developing and delivering data-centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ ...

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 ...

Learning, NLP and Generative AI solutions. Build end-to-end modelling pipelines from data preparation through to production handover. Utilise BigQuery and BigQuery ML for experimentation, analytics and model development. Design and evaluate LLM based solutions, including Retrieval Augmented Generation (RAG) approaches. Define testing frameworks, model evaluation metrics … experimentation strategies. Produce model documentation, model cards and governance ready evidence. Collaborate with Data Engineers, ML Engineers and stakeholders to deliver impactful solutions. The Data Scientist will need to have the following skills/experience - 8+ years' experience in Data Science, Machine Learning Engineering or Applied AI. Strong ...

Head of Software Engineering will be responsible for leading and managing a multidisciplinary engineering team, with a tech stack spanning (in order of importance): Machine Learning (neural networks, signal processing, computer vision; Python) Advanced algorithm development (Python) Cloud platforms (mainly AWS) Mobile development (iOS & Android) Web App (ASP.Net … Foster a culture of innovation, collaboration, and continuous improvement within the engineering team. Team Management Manage, mentor, and inspire a team that includes engineers, machine learning specialists, mathematicians and physicists. Support talent acquisition, retention, and development to ensure a high-performing team. Technical Oversight Provide hands-on technical ...

Data Scientist Join a growing Data Science team within an insurance business where you'll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much … building models. The Role You will: Build, validate and deploy machine learning and statistical models Work with Python, SQL, Databricks and PySpark to analyse large datasets Solve pricing and risk-related business challenges Explore new data sources and test innovative ideas Own projects from problem definition through ...

Airflow or AWS Glue Pandas/Pydantic Docker Data lakes/data warehouses Batch and streaming systems Data quality and schema management Experience productionising machine learning or data science solutions Consultancy experience Public sector experience Pair programming/mob programming Experience working within multidisciplinary technology teams ...

Airflow/AWS Glue Pandas Data Lakes/Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science/ML teams To be Considered: Please apply by clicking online or emailing me directly ...

prioritise and allocate work. Delivering both strategic and tactical technology solutions. Applying modern DevOps and exploring emerging technologies such as artificial intelligence and machine learning. This is a great opportunity and salary is dependent upon experience. Apply now for more details. ...

databases and Retrieval-Augmented Generation (RAG) architectures. Experience working with containerised applications and modern CI/CD pipelines. AWS certifications, including Solutions Architect or Machine Learning Specialty. ...

experienced DevOps Engineer to support the design, automation, and operation of cloud infrastructure for an enterprise data platform and its AI/ML workloads. You will apply strong technical expertise across infrastructure automation, environment provisioning, deployment pipelines, containerisation, and cloud platform operations. The role will involve close collaboration with Data ...

required (UK Eyes Only) We're looking for an experienced DevOps Engineer to join an Engineering Data Platform (EDP) team supporting AI/ML workloads. You'll apply deep technical expertise across infrastructure automation, environment provisioning and deployment pipelines , working closely with Data Engineers, MLOps Engineers and Solution Architects ...

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 ...

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. This step ...

seeking an experienced DevOps Engineer to support the design, automation and operation of cloud infrastructure for an enterprise data platform and its AI/ML workloads. You will apply strong expertise across infrastructure as code, CI/CD pipelines, containerisation and cloud governance to ensure platforms are secure, scalable ...

Whole platform domain exposure including FIN/HCM/Payroll/Security —e.g., approvals, exceptions, vendor onboarding, expense governance, journals, controls, agentic AI and machine learning, lifecycle. Experience in AI product development. Familiarity with Workday BIRT, Workday Reporting (advanced), Time Tracking. Scripting experience (e.g., JavaScript/TypeScript, Python ...

safety and quality standards while working efficiently toward achievable targets with clear financial rewards. Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insight responsibly and in line with our standards for data governance, security and ethical ...

The BBC is seeking a Head of Architecture for Data Platform & Account & Identity to define architectural direction across a high-volume, event-driven ecosystem. You will lead a senior team, collaborate with Product, Data, UX ...

.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, .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 ...

.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 - 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 - 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 ...