You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.
You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.
You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development.
You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you.
You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development.
You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you.
You should have a solid background in Machine Learning (ML) and/or statistical signal processing with excellent programming skills in Python and extensive experience with libraries and toolboxes to support efficient development.
You will have the opportunity to work with colleagues in multi-disciplinary teams.
Location: Saffron WaldenJob Type: PermanentHours: Monday-Friday, 9.00-17.30Salary: Competitive Job Reference: 35947Polytec are seeking a Senior RF Data Scientist / Research Engineer to develop signal-processing and machine learning solutions using RF data from software-defined radios for our Saffron Walden based client. This hands-on role sits at the intersection of RF hardware, DSP and applied...
You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you’ll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role — you’ll ship well-engineered, production-ready systems that directly impact customers.
This role is the programme’s data-driven applications engineer - sitting between Oracle APEX development, analytics engineering, and data science enablement. It focuses on delivering reporting, dashboards, lightweight applications, and analytical PoCs on top of the client’s Oracle cloud estate (ADW, OAC, Fusion, OIC). Key Responsibilities - Develop, enhance and maintain secure APEX applications...
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 for a senior, hands-on Contract MLOps Engineer to help take ML...
.Net / Blazor Developer, Fully Remote, £60,000 - £85,000 per annum About the Role: Our client, a leading AI solutions consultancy are seeking a highly skilled Blazor Developer to join their team. As a Blazor Developer, you will play a critical role in creating and optimising web applications built on the Blazor framework. Your expertise in development will help their clients bring their...
Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. All potential applicants are encouraged to scroll through and read the complete job description before...
You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.
You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.
You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you’ll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role — you’ll ship well-engineered, production-ready systems that directly impact customers.
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.
Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. All potential applicants are encouraged to scroll through and read the complete job description before...
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.
You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.
You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.