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

Nominate & Attend

ML Tech Lead

Janes
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering

Head of Data Engineering

Computer Science Teacher

Senior Machine Learning Engineer

Lead Research Engineer – SLAM / State Estimation / Computer Vision / Robotics

Software Manager

Janes enables militaries, governments, and defence companies to make critical decisions. Our expert-driven tradecraft, developed over 120 years, combined with human-machine teaming, delivers assured open-source intelligence across military capabilities and order of battle, equipment, events, countries, companies, and markets.

Linking millions of assured data points, Janes data model creates a framework of interconnected open source defence intelligence. This allows our customers to integrate all relevant data and connections into a single intelligence environment to deliver a more complete and accurate answer. Using Janes, our customers can use their scarce resource more effectively, to get to better decisions with higher confidence, more quickly.

Job purpose

As part of our ongoing evolution to continue to be at the forefront of analysis in the open-source intelligence domain, we are now expanding our Development and Technology team to enhance the next generation of systems that will enable our customers to interconnect millions of assured data points across Janes foundational intelligence delivering the single source of truth.

You will be working an environment which will encompass machine learning and artificial intelligence, as well as taking advantage of the latest cloud offering in which we would encourage and support learning development.

The ML Tech Lead will lead an agile unit within our Development and Technical team, based in our offices in Manchester. You will collaborate with architects, product owners and the wider business to build a scalable, robust, and secure platforms as well as ensuring we do the basics well.

As a leading member of the team, you will be part of a smart, motivated, and cross functional agile unit. Leading the design, code, testing and implementation of solutions to meet our customer’s needs. The role is a hands-on role, as well as driving engineering decisions and best practices, you will also be coding so need to be an experienced engineer.

How you will contribute to Janes

  • Providing the technical lead to an agile team in the design, coding, testing and delivery of applications and services.
  • Ensuring that best practices and procedures are applied, ensure application is thoroughly tested, maintainable and scalable.
  • Delivering impactful outcomes to problems
  • Provide input in establishing program and/or project timelines.
  • Innovate and keep abreast of industry trends and competition
  • Lead constructive code and design reviews, probing assumptions, highlighting risks, and improving software quality.
  • Ensuring observability
  • Owning technical decisions and solutions
  • Mentoring and technical leadership of less experienced developers.

Requirements

Given the scale and complexity of what we do, we are looking for people with experience in some of the following:

  • C#, Python
  • AWS Cloud
  • Machine Learning
  • Graph Databases or NoSQL
  • Service Architectures

The ideal skills and experience are:

  • Experience using infrastructure-as-code tools to build and run cloud infrastructure (e.g. Terraform, CloudFormation).
  • Experience with NLP and machine learning
  • Proven professional experience in software development and database design.
  • Extensive experience developing restful or graph API’s.
  • Analytical and problem-solving skills.
  • Must be able to work effectively as part of a project/program team and foster team cooperation.
  • Agile enthusiast who can help guide the team and drive incremental improvements.
  • Able to coach and mentor.
  • Stay current with rapidly changing technology and apply it to business needs.
  • Experience with modern technologies like Cloud native, containers and serverless technologies.

Desirable:

  • Knowledge of frontend technologies and frameworks
  • MLOps knowledge

Benefits

  • 27 days of annual leave  
  • Healthy half (0.5 day leave every 6 months for wellbeing)  
  • Leave- study/ volunteer/ reserve forces
  • Pension plan (6% employer contribution) 
  • Private medical insurance – Vitality
  • Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay)  
  • Paternity (100% of basic salary for 6 weeks) 
  • Life cover  
  • Access to GoodHabitz
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.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

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.

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.