Machine Learning Engineer

In Technology Group
Glasgow, Scotland
13 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Machine Learning Engineer

PhysicsX England
US$150,000 – US$190,000 pa On-site Clearance Required

Machine Learning Engineer

ECM Selection Cambridge, Cambridgeshire, United Kingdom
£40,000 – £70,000 pa On-site Clearance Required

Machine Learning Engineer

PhysicsX United Kingdom
Hybrid

Machine Learning Engineer

PhysicsX United Kingdom
£150,000 – £190,000 pa Remote

Machine Learning Engineer

Hexwired Recruitment Limited London, United Kingdom
£80,000 – £120,000 pa
Posted
5 Aug 2025 (13 months ago)

Job Title: Machine Learning Engineer
Location: Glasgow (Hybrid 2 days-onsite)
Salary: £50,000–£60,000

Are you ready to shape the future of AI? Join one of Glasgow’s most exciting AI startups as we build cutting-edge machine learning solutions that are transforming industries. We’re looking for a passionate and skilled

Machine Learning Engineer

to join our growing team and help us push the boundaries of what’s possible.

About Us
We’re a fast-growing, venture-backed AI startup based in the heart of Glasgow. Our mission is to develop intelligent systems that solve real-world problems in sectors like healthcare, finance, and logistics. With a collaborative culture and a focus on innovation, we’re building a team that’s as ambitious as our technology.

What You’ll Do
As a Machine Learning Engineer, you’ll play a key role in designing, developing, and deploying ML models that power our core products. You’ll work closely with data scientists, software engineers, and product managers to bring intelligent features to life.

Your responsibilities will include:
Designing and implementing machine learning models for real-world applications
Preprocessing and analysing large datasets to extract meaningful insights
Collaborating with cross-functional teams to integrate ML solutions into production systems
Monitoring and improving model performance over time
Staying up to date with the latest research and best practices in ML and AI

What We’re Looking For
We’re looking for someone who’s not just technically strong, but also curious, innovative, collaborative, and excited about building something new.

You should have:
2+ years of experience in machine learning or data science roles
Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Solid understanding of machine learning algorithms and statistical methods
Experience working with cloud platforms (AWS, GCP, or Azure)
Familiarity with MLOps tools and practices is a plus
A degree in Computer Science, Engineering, Mathematics, or a related field

What We Offer
Salary:

£50,000–£60,000 depending on experience
Hybrid working:

2 days per week in our Glasgow office, the rest remote
Equity options:

Share in the success you help create
Flexible hours:

We care about outcomes, not clock-ins
Learning budget:

Annual allowance for courses, books, and conferences
Startup culture:

Fast-paced, collaborative, and full of opportunities to grow

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.