Senior Data Scientist

MarkJames Search
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist

Senior Data Scientist

Job Title: Senior Data Scientist

Location:Stratford, London (Hybrid, -3 days per week onsite)

Contract Length:6 months

Rate:£400–£500 per day (Inside IR35)

Industry:Financial Services


Are you passionate about bridging the gap between machine learning and software engineering? We're looking for aFull-Stack Data Scientistto join our clients innovative team inStratford, London, where you'll play a pivotal role in delivering scalable, production-ready AI/ML solutions.


Responsibilities


  • Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications.
  • Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS.
  • Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift.
  • Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more.
  • Support the full ML lifecycle including monitoring, governance, and reproducibility.


Requirements


  • Degree (or equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field.
  • Proficiency inPython(or R), with hands-on experience in ML and statistical modeling.
  • End-to-end experience withMLOps, from experimentation to deployment and monitoring.
  • Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation.
  • Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate).
  • Skilled in deploying and hosting microservices/APIs with Flask or FastAPI.
  • Proficient in SQL, Git, Jupyter/RStudio, and CI/CD integrations.
  • Excellent communication skills and ability to engage with non-technical stakeholders.
  • Strong problem-solving ability and a product-first mindset.
  • Enthusiastic about learning, adapting to new tools, and collaborating in a dynamic environment


Tech Stack


  • Languages & Frameworks:Python, R, SQL, Flask, FastAPI
  • Tools:Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter
  • Cloud:AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda)



Please apply online for consideration.

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

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Careers Education

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

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.

🍪 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.