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

Apply Now

Software Engineer

Liverpool
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Graph Data Science

Software Engineer - Machine Learning

Software Engineer, Machine Learning

Software Engineer- Machine Learning - UK

Software Engineer- Machine Learning - UK

Software Engineer III - MLOps

Our client is a well-established IT developer with over 30 years industry experience, With located offices throughout the United Kingdom. We provide business software and hardware solutions, including Manufacturing, Production, ERP and Warehouse management systems. We have a broad world-wide customer base from small and medium sized companies, right up to FTSE 100 and international conglomerates.

The role on offer is for a C/C# engineer based working from home who can also install software and hardware at customers sites. Experience of C and C# is required, along with a knowledge of hardware and networks. Other languages such as SQL, Basic and JavaScript are desirable. Our software links many pieces of industrial equipment using IOT to bring in and analyse as big data and control using AI techniques.

You will become familiar with our range of software solutions. Working as part of a team, senior systems engineers will require you to implement modules within the system designs. Systems are typically Windows Desktop and Server based, with some Android and Cloud implementation.

You will need to be technically and independent minded. This will allow you to discuss customer's business requirements and relate this to our off-the-shelf, tailored and bespoke software and hardware offerings to provide the best solution. You will need to work with customers to install systems and troubleshoot their installation.

You will be part of a small, close team where everyone's contribution is key providing solutions to some of the biggest companies worldwide. You will gain a good understanding of our products and the many industries we work in.

This is mainly an office-based job, but will require field work as experience with our products progresses.

Responsibilities:

  • Writing software for production systems

  • Training customers on software modules

  • Install and support software for customer (online and onsite), travel to customer site for support, installation and test

  • Availability to travel up to 50% domestically and abroad for teamwork with international organization.

    Technical competence:

  • Programming software languages required: C, C#

  • Additional programming software languages preferred: SQL, BASIC, JavaScript and other languages

  • Knowledge of operating systems, networking, basic hardware for automation industry

  • Windows, Windows Server, Android, IOT, Internet

  • At least two years of applicable development experience required

    Job Type: Full-time, Permanent

    Salary: £35,000.00-£45,000.00 per year

    Schedule: Monday to Friday, some weekend travel

    Location: Hybrid

    Education: Bachelor's (preferred)

    Work authorization: United Kingdom (preferred)
  • Knowledge of quantum engineering concepts (preferred but not required)
  • Familiarity with software development methodologies (e.g., Agile)
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration abilities
  • Ability to work independently as well as in a team environment

    Apply Now

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.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.