Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist - (Senior AI/ML Engineer)

55 Exec Search
Manchester
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Outside IR35

Data Scientist - AI Agents - Remote - Outside IR35

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

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.