Data Scientist - (Senior AI/ML Engineer)

55 Exec Search
Manchester, England
11 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist

Oscar Technology London, United Kingdom
£65,000 – £75,000 pa Hybrid

Data Scientist

Franklin Bates London, United Kingdom
£55,000 – £65,000 pa Hybrid

Data Scientist

Vertical Aerospace Bristol, United Kingdom
Permanent

Data Scientist, Safety

OpenAI London, United Kingdom
Hybrid
Posted
2 Jul 2025 (11 months ago)

This range is provided by 55 Exec Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Data Scientist – Start-Up – Stock Consideration

We are looking for a mid-level Data Scientist to join a vibrant early tech start-up in Manchester.

Are you fascinated by behavioural biometrics? Do you want to build AI that understands and predicts actions, decisions, and patterns? Join us at the frontier of Behavioural AI innovation!

Our client leverages behavioural biometric interactions and powerful AI to create unique user profiles for seamless security.

Due to recent investments and ambitious growth plans, they are looking for a Data Scientist to join the team.

The Role:

  • Analyse behavioural datasets to uncover insights and patterns.
  • Design and train predictive models based on user interactions, decision flows, and sequences.
  • Apply machine learning and deep learning techniques to simulate and anticipate behaviour.
  • Collaborate with the wider AI / ML engineers and team.
  • Develop and implement scalable data pipelines and experimentation frameworks.
  • Translate business and product questions into data-driven solutions.
  • Stay on top of emerging trends in behavioural modelling, reinforcement learning, and cognitive AI.

What we are looking for:

  • 2+ years of experience in data science or machine learning roles.
  • Strong knowledge of behaviour biometrics or sensor-based or time series data.
  • Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch).
  • Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers).
  • Comfortable working with SQL and data visualisation tools.
  • Startup mindset: entrepreneurial, independent, adaptable, and collaborative.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Media


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.