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

Apply Now

Senior Computer Vision Engineer

ALTEN LTD - UK
Basingstoke
1 week ago
Create job alert
Computer Vision Engineer – Software

Location: Basingstoke (Hybrid, 3 days onsite)

Experience Level: Mid‑Senior (5+ years)

Key Responsibilities
  • Design and develop robust computer vision algorithms for detection, classification, segmentation, and tracking.
  • Lead research and prototyping of new vision‑based technologies using deep learning and classical methods.
  • Collaborate with cross‑functional teams (software, hardware, product) to integrate vision systems into real‑world applications.
  • Optimize models for embedded platforms, edge devices, or cloud environments.
  • Mentor junior engineers and contribute to technical leadership within the team.
  • Stay current with advancements in AI, deep learning, and computer vision to apply new techniques to products.
Required Skills & Qualifications
  • Strong proficiency in Python and/or C++.
  • Experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
  • Solid understanding of classical vision techniques (feature extraction, optical flow, camera calibration).
  • Experience deploying models to production (cloud, edge, or embedded).
  • Strong mathematical foundation in linear algebra, probability, and optimisation.
  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline.
Soft Skills & Collaboration
  • Excellent communication and teamwork abilities, with the confidence to present technical concepts to non‑technical audiences.
  • Strong problem‑solving mindset, with the ability to take ownership of complex challenges.
  • Proven ability to work independently while contributing effectively to a collaborative team environment.
  • Comfortable working in a consultancy setting, adapting quickly to new industries and project requirements.
Desirable Skills
  • Experience with OpenCV, CUDA, and real‑time processing pipelines.
  • Familiarity with GPU acceleration and multi‑threaded performance tuning.
  • Experience in tracking, automation, or high‑speed imaging domains.
Benefits
  • Personalised career path and rewarding management style.
  • Opportunity to work on exciting engineering projects with premium customers.
  • Diverse engineering projects and industries.
  • Competitive salary.
  • Private medical insurance.
  • Pension scheme.
  • Cycle‑to‑work scheme and many additional benefits.
  • Social atmosphere, regular gatherings, and team buildings.
  • Flexible way of working (role dependent).
Why Join Us?

We foster a community of entrepreneurs and technology specialists, empowering you to reach your full potential.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Computer Vision Engineer - Robotics

Senior Computer Vision Engineer

Senior Computer Vision Engineer

Senior Computer Vision Engineer

Senior Computer Vision Engineer - UK

Senior Computer Vision Engineer

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.