AI Engineer

Meritus
London, UK
2 days ago
Apply on www.adzuna.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
£50,000.0 - £90,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computer Vision Python (Programming Language) Machine Learning Sensor Fusion Signal Processing Software Engineering Reinforcement Learning Large Language Models SC Clearance Information Technology Multiaccess Edge Computing

Job description

  • Lead the technical delivery of AI, Machine Learning and advanced algorithm projects.
  • Act as technical lead and solution architect on complex programmes.
  • Apply techniques including Transformer Models, LLMs, Reinforcement Learning, Computer Vision, Sensor Processing and Statistical Modelling.
  • Provide technical oversight, governance and peer review across projects.
  • Work directly with customers to define requirements and deliver innovative solutions.
  • Support proposals, bids and business development activities.
  • Mentor engineers and contribute to technical standards and best practice.

Technologies:

  • AI
  • Architect
  • Computer Vision
  • Support
  • Machine Learning
  • Python
  • Security
  • Sensor Fusion, We are recruiting AI Engineers to join a leading technology and engineering consultancy delivering cutting-edge solutions across the Defence, Security and Government sectors. This is an excellent opportunity to combine hands-on technical delivery with technical leadership, customer engagement and business development. You will work alongside multidisciplinary teams of engineers and scientists, helping solve complex challenges and developing next-generation intelligent systems for Defence and Security applications. The role is based in Cambridge with three days per week on-site. We offer up to £90,000 base salary, a 10% bonus, 25 days holiday plus bank holidays, private medical insurance, access to specialist labs and advanced computing resources, and excellent career progression and technical leadership opportunities.

Requirements

  • 3+ years experience developing and delivering AI, Machine Learning or advanced algorithmic solutions.
  • Experience within the Defence, National Security or Government sectors.
  • Strong expertise in one or more of Transformer Models, Diffusion Models, Reinforcement Learning, Computer Vision or Machine Perception.
  • Strong Python and software engineering skills.
  • Experience leading technical teams and architecting complex solutions.
  • Customer-facing experience and the ability to communicate with technical and non-technical stakeholders.
  • Degree qualified in Computer Science, AI, Machine Learning, Mathematics, Physics or a related discipline.
  • SC Clearance eligibility.
  • Desirable: Signal Processing, Sensor Fusion or Edge Computing experience.
  • Desirable: Numerical Optimisation, Simulation or Statistical Modelling expertise.
  • Desirable: Proposal leadership, technical sales or client development experience.
  • Desirable: PhD, published research or conference speaking experience.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

5:55 min

Practical applications and use cases for computer vision

Flo Pachinger · LIVE

1:51 min

Mapping physical environments via extensive sensor fusion

Thomas Tomow Thomas Tomow · World Congress 2025

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

51 sec

Overcoming inefficiencies in computer vision modeling

Antonio Tavera Antonio Tavera · World Congress 2025

3:10 min

Fusing sensor data for the autonomous driver coach

Denis Grahovac · World Congress 2021

Videos

See all

Related articles

See all