Partner - AI/ML & Data Science

BioTalent
London
1 week ago
Applications closed

Related Jobs

View all jobs

Head of IT - Data & Applications

Data Engineer - Salisbury - ÂŁ55,000-ÂŁ65,000 - Hybrid

MLOps Engineer

Data Engineer - Salisbury - ÂŁ55,000-ÂŁ65,000 - Hybrid

Data Engineer

Analytics Business Partner

Partner - Director AI/ML,Computational & Data Science- Want to help build the future of life sciences? 🧬


Are you passionate about AI, machine learning, computational and data science? Are you passionate about life sciences? Did you know that over the next 3 years the demand for AI/ML talent in Europe in the life sciences industries is expected to grow over 4x faster than the overall life sciences workforce?


We want to someone who can take our work in this space to the next level and build out the best talent solutions team in the industry. You will be working closely with our experienced best in class leadership team in Europe (Nicholas Boyle,Sarah Pawar,Arne Huyghelier,Catherine CampbellandTasha Cole) with access to over 1,400 signed T&Cs to supercharge our UK & EU-focussed Computational AI/ML business unit, covering the full spectrum of from drug discovery to commercial launch.


🔵 WhyBioTalent?

- Our industry reputation speaks for itself – NPS score of 76 (customer NPS of 100 over the past 6 months), 4.9 google review scores

- 32% of our network aren’t on LinkedIn – access to unique individuals

4 game changing communities to elevate your personal brand, drive positive social impact

- Part ofThe IN Groupa leading talent and workforce solutions group with collaboration opportunities to unlock new revenue streams

- Experts in our field with average market experience of 9 years, trained by industry experts and with a dedicated internal L&D team

- Leading earning potential - profit share and leading commission scheme up to 50%


đź’Ą What will you bring to the table?

- Curious mindset with a passion for continual learning in sales, AI/ML and life sciences (life sciences experience not required but you have to be excited about the opportunity to focus down on the sector)

- A love of networking, meeting new people, speaking and attending conferences

- Experience of business development, account growth and solution selling

- Ambition, accountability and energy – your business unit can be as big as you want it to be


If you are interested, please reach out to me directly to discuss the opportunity in confidence. This role can be based hybrid in London, Amsterdam or Zug.


If not right for you but you know someone or work with a recruiter in the field who you rate I will pay a referral fee for a successful introduction (this can be a confidential name to contact or an introduction).

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.