Software Engineer - Manipulation

Church Street
11 months ago
Applications closed

Related Jobs

View all jobs

Software & Data Engineer for NHS Data & Research

GenAI Software Engineer/Data Scientist

GenAI Software Engineer/Data Scientist

Software and Data Engineer | Oxford University Hospitals NHS Foundation Trust

Data Scientist / Software Engineer

Data Engineer

Software Engineer - Manipulation - work with AI technologies and develop Human-like robots.

Around £100k yearly based on your experience
Hybrid, London Our client is fast-growing company that specializes in the robotics engineering and advanced AI technologies aimed at human-like automation. They have an exciting opportunity for a Software Engineer - Manipulation to join their team. This position is well-suited to ambitious and inventive person who is looking to explore the power of Artificial Intelligence.

This position is based in the Software Department and answers to the Lead of Manipulation. You will work with the latest technologies to fill the workforce gap in the critical industries.

Responsibilities:

Collaborate with hardware engineers, AI researchers, and other software engineers to integrate manipulation capabilities into the overall robotic system.
Troubleshoot and debug issues related to manipulation software, providing technical support and guidance as needed.
Lead the development of manipulation software, ensuring it meets the requirements for precision, reliability, and safety.
Contribute to the overall software development lifecycle, including requirements gathering, design, coding, testing, and deployment.
Ensure compliance with industry standards and regulatory requirements for robotic manipulation.
Stay up-to-date with advancements in manipulation algorithms, robotic control techniques, perception technologies, and AI methodologies.
Mentor junior engineers and provide guidance on best practices in software development for robotic manipulation.Requirements:

Proficiency in programming languages such as C++, Python, and ROS (Robot Operating System).
Familiarity with simulation tools and frameworks, such as Gazebo or V-REP.
Extensive experience as a software engineer with a focus on robotic manipulation, motion planning, or related fields.
Strong understanding of robotic kinematics, dynamics, and control theory.
Experience with motion planning algorithms, such as RRT, PRM, or optimization-based methods.
Knowledge of perception techniques, including computer vision, depth sensing, and tactile sensing.Reasons why you should apply:

Opportunity to work on the latest technologies in AI, Robotics, EdTech, MedTech and others.
Startup model, offering a dynamic and innovative work environment.
28 calendar days of vacation per year.

Why work with Proactive Global?

Proactive Global is an industry leading, specialist engineering recruitment agency focused on the automation, manufacturing and robotics sectors. We offer specialist recruitment services to a niche customer base, vetting that our clients offer the best opportunities for your career. Proactive encourages and promotes equality and diversity within the workforce. We act with honesty, integrity and impartiality, ensuring your application is considered on its own merits and without bias.

When registering with Proactive you will have the opportunity to apply for some of the most interesting, specialist, opportunities in the marketplace, with the biggest companies in the sector. Follow us on Linkedin and Facebook for industry news and download our app for live notifications about newly listed vacancies. We look forward to helping you find your next role!

Proactive Global is committed to equality in the workplace and is an equal opportunity employer.
Proactive Global is acting as an Employment Business in relation to this vacancy

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.