National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Solution Developer I

Parexel
Uxbridge
8 months ago
Applications closed

Related Jobs

View all jobs

Junior Machine Learning Developer

Remote AI / Azure / Python Developer - AI Platform Powering Workflows

Lead Software Engineer

Graduate Software Engineer

Applied Scientist II - Computer Vision

Data Science Manager - Medical

When our values align, there's no limit to what we can achieve.
 

Parexel is in the business of improving the world’s health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values,

This role will work within our which is an innovative team that will build and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. The team partner and support the business in building best-in-class AI-driven solutions when nothing suitable exists.

This role is to be based in the and can be either The offices are open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues.

As the you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel’s business. In this role, you will design, develop, and deploy Applications, ML models and data pipelines within the Foundry ecosystem. You will also work collaboratively with data engineers, software developers, product managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production.

Key Accountabilities;

ML and Gen AI Technology in Foundry

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications

Design, implement, and document new ML/Gen AI modeling techniques and strategies

Develop ML pipelines and workflows in Foundry to support AI solution development and deployment

Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions

Applied ML POCs and Experimentation

Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs

Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry

Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments

AI-based Production Solutions

Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

Design and develop high quality AI-based production pipelines, workflows and applications in Foundry

Participate in planning and check-in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective

AI Expertise, Education, and Advocacy

Act as an AI and Foundry advisor across Parexel

Software Engineering

Develop front-end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir’s Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.)

Education:

Educated to Bsc. or Master’s level in Engineering or Computer Science with a focus on Machine Learning or other equivalent qualification/experience.

Skills:

Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines

Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)

Proven CS fundamentals including data structures, algorithms, and distributed systems

Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.

Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry

Knowledge of Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow)

Experience with data modeling and pipeline development in Palantir Foundry

Experience with frontend development for intuitive user experience

Practical understanding of database technologies including relational, non-relational and graph

Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor

A flexible attitude with respect to work assignments and new learning

Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail

Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork.

Knowledge and Experience:

Intermediate experience with the following tools: Foundry (Workshop, Pipeline-builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub,

Intermediate experience working in applications with RESTful JSON API endpoints

Intermediate experience with Azure and Docker

Experience producing high quality code in a shared context

Up to date with state of the art in Machine Learning (and Gen AI techniques/models)

Experience contributing to delivery of value-driven production-quality AI solutions and models.

A strong interest and passion for Machine Learning and Generative AI and demonstration of this is essential.

In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry. 

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.