Machine Learning Engineer

Alloway
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist/AI Engineer

Civils Operative \ Groundworker

Manufacturing Systems Software Engineer

MACHINE LEARNING ENGINEER (MLOPS)
HYBRID/EDINBURGH OR UK REMOTE £55-60,000 PLUS BENEFITS
 
Based in Edinburgh, GRW Talent’s client is considered to be the leading audio-driven facial animation provider in the video-game industry. They employ detailed muscle maps for extremely accurate real-time lip-sync, trading across two recognised brands. One is an innovative platform that integrates AI with animated digital characters, enabling engaging and meaningful interactions in any language. This platform is being used to bring best-in-class digital experiences to multiple sectors, including corporate training, immersive learning, and virtual influencers. 
With a culture that thrives on collaboration, creativity and pushing technological boundaries, they are committed to providing a workplace where people can grow, innovate and make an impact. They now need to recruit an experienced Machine Learning Engineer (MLOPS).
 
As a Senior Machine Learning Engineer (MLOps) at you will be responsible for driving the vision and implementation of MLOps pipelines and best practices. You will support the Research team by developing and maintaining the internal machine learning platform, ensuring seamless model deployment, and resolving technical issues or bugs as they arise. This role is critical in ensuring the accuracy, efficiency, and reliability of our machine learning operations, which are essential for the development and deployment of our speech animation technologies. Note that this role doesn’t involve hands-on model training. Key responsibilities include:

Drive the vision and implementation of MLOps pipelines and best practices to ensure efficient and scalable machine learning operations.
Assume a leadership role in projects, overseeing various project planning and management responsibilities.
Develop and maintain internal tools, including the machine learning platform and python libraries.
Collaborate closely with the research team to gather their requirements and provide technical support.
Implement algorithms to support research needs.
Identify, troubleshoot, and resolve technical problems and bugs promptly.
Maintain list of third party libraries dependencies to ensure compliance with information security and licensing standards.
Write and optimise production-ready code for product deployments.
Contribute to continuous integration/continuous deployment (CI/CD) for MLOps components.
Provide guidance and maintain comprehensive technical documentation to ensure knowledge sharing and operational continuity.  
The relevant candidate is educated to degree calibre in Computer Science, Software Engineering or Data Science. You are a proven Machine Learning Engineer / MLOPS, with expertise in ML platform development and model deployment, experience in establishing and improving MLOps processes, strong Python development skills and experience with a machine learning toolkit, preferably PyTorch. Familiarity with any of the following domains: signal processing, speech technology, linguistics, and mathematical optimization would be a distinct advantage.
 
This role represent an excellent opportunity for an aspiring and experienced Machine Learning Engineer to drive the growth of a highly successful Scottish SME in the busy gaming space. Your base salary £55-60,000 is complemented by company pension, 33 days off, free food and drink in the office, self improvement budget and learning opportunities, healthcare benefits and a fun highly social culture and environment. Our client would welcome someone who wants to come into a friendly outgoing Edinburgh office, but you could also do this remotely as long as you are free to live and work in the UK.
 
To apply to this role please contact our recruitment partner Bruce Hydes at GRw Talent

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.

Jobs

How to Write a Cyber Security Job Ad That Attracts the Right People

Cyber security is now a board-level priority for organisations across the UK. From financial services and healthcare to critical infrastructure, SaaS platforms and the public sector, demand for skilled cyber security professionals continues to grow. Yet despite this demand, many employers struggle to attract the right candidates. Cyber security job adverts often generate large volumes of applications, but few are a genuine match. Meanwhile, experienced security engineers, analysts and architects quietly ignore adverts that feel vague, unrealistic or disconnected from real security work. In most cases, the problem is not a lack of talent — it is the quality of the job advert. Cyber security professionals are trained to assess risk, spot weaknesses and question assumptions. A poorly written job ad signals organisational immaturity and weak security culture. A well-written one signals seriousness, competence and trust. This guide explains how to write a cyber security job ad that attracts the right people, improves applicant quality and positions your organisation as a credible security employer.

Education Jobs

Maths for Cyber Security Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for cyber security jobs in the UK it can feel like “real security people” must be brilliant at maths. The reality is simpler: most roles do not need degree-level pure maths. What they do need is confidence with a small set of practical topics that show up repeatedly in day-to-day work across SOC, incident response, cloud security, AppSec, threat detection, IAM & security engineering. This guide strips the maths down to what actually helps you get hired. It includes a 6-week learning plan plus portfolio projects you can publish to prove the skills. You will focus on: Number systems & bitwise thinking (binary, hex, bytes, XOR) Modular arithmetic basics (enough to understand how modern crypto “works”) Probability & statistics for detection, triage & risk Discrete maths for logic, sets, graphs & complexity Security maths habits: estimation, false positive control & evidence-led reporting You will not waste time on heavy theory that rarely appears in junior or mid-level cyber security roles.

Jobs

Neurodiversity in Cyber Security Careers: Turning Different Thinking into a Superpower

Cyber security is all about thinking like an attacker, spotting unusual patterns, protecting systems & responding calmly when everything looks like it’s on fire. It’s a discipline built on curiosity, persistence & noticing things other people miss. That’s exactly why it can be such a good fit 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 security role. In reality, the traits that can make traditional office work tough often line up beautifully with cyber security work – from hyperfocus in incident response to meticulous analysis in threat hunting. This guide is written for cyber security job seekers in the UK. We’ll look at: What neurodiversity means in a cyber context How ADHD, autism & dyslexia strengths map to different security roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence during applications & interviews By the end, you’ll have a clearer sense of where you might thrive in cyber security – & how to turn “different thinking” into a genuine superpower.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.