Qureos Mentor

C-Serv

C-Serv partners with technology leaders to build high-impact tech teams and deliver scalable consulting solutions across networking, cloud, cybersecurity, and AI. Operating in over 50 countries, they assist both billion-dollar enterprises and ambitious startups in overcoming complex delivery challenges and accelerating growth. Their expertise includes providing embedded delivery support and operational strategy to help organizations launch in new regions and drive transformation.

<div>
 Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management.
 
 
 Our client is expanding its AI Core group and is looking for a Senior or Staff AI &amp; ML Engineer in the UK. This is hands-on, build-focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi-agent systems, retrieval-augmented generation pipelines, anomaly detection, fine-tuned models, and the real-time inference layer that serves them.
 
 
 If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.
 
 
 
 What You Will Own
 
 
 
 <ul>
 <li>
 Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them
 </li>
 <li>
 Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale
 </li>
 <li>
 Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency
 </li>
 <li>
 Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability
 </li>
 <li>
 Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you
 </li>
 <li>
 Partnering with research and product teams to take ideas from experiment to a service customers depend on
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others
 </li>
 <li>
 Strong, current Python engineering, with production services built and shipped (FastAPI or similar)
 </li>
 <li>
 Genuine hands-on GenAI depth: LLMs, RAG, agentic or multi-agent workflows, anomaly detection, and fine-tuning (for example LoRA or PEFT)
 </li>
 <li>
 Real-time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost
 </li>
 <li>
 A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability
 </li>
 <li>
 Solid grounding in Docker and Kubernetes, and large-scale distributed systems on a major cloud
 </li>
 <li>
 Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with vLLM or other serving frameworks alongside Triton and TensorRT
 </li>
 <li>
 Experience in security, networking, or other high-reliability domains
 </li>
 <li>
 Big-data tooling (Spark, Databricks, Snowflake) and modern MLOps practice
 
 
 </li>
 </ul>
 
 What You Will Get
 
 
 
 <ul>
 <li>
 A genuine build mandate inside an established AI Core team, not a proof-of-concept that never ships
 </li>
 <li>
 Fully remote working anywhere in the UK, built around delivery rather than presence
 </li>
 <li>
 Competitive salary, strong benefits, and clear scope to grow into staff and principal-level influence
 </li>
 <li>
 The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Fully remote working anywhere in the UK, built around delivery rather than presence
 </li>
 <li>
 A clear path to grow into staff and principal-level technical influence
 </li>
 <li>
 Full support from C-Serv across the hiring process and beyond, with full-cycle accountability
 </li>
 <li>
 A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth
 </li>
 </ul>
</div>

AI/ML Engineer

<div>Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management.
Our client is expanding its AI Core group and is looking for a Senior or Staff AI &amp; ML Engineer in the UK. This is hands-on, build-focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi-agent systems, retrieval-augmented generation pipelines, anomaly detection, fine-tuned models, and the real-time inference layer that serves them.
If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.
What you will own<ul><li>Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.</li><li>Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale.</li><li>Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency.</li><li>Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you.</li><li>Partnering with research and product teams to take ideas from experiment to a service customers depend on.</li></ul> 
Requirements<ul><li> 
5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others.</li><li>Strong, current Python engineering, with production services built and shipped (FastAPI or similar).</li><li>Genuine hands-on GenAI depth: LLMs, RAG, agentic or multi-agent workflows, anomaly detection, and fine-tuning (for example LoRA or PEFT).</li><li>Real-time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost.</li><li>A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Solid grounding in Docker and Kubernetes, and large-scale distributed systems on a major cloud.</li><li>Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity.</li></ul>
Nice to have<ul><li>Experience with vLLM or other serving frameworks alongside Triton and TensorRT.</li><li>Experience in security, networking, or other high-reliability domains.</li><li>Big-data tooling (Spark, Databricks, Snowflake) and modern MLOps practice.</li></ul>
What you will get<ul><li>A genuine build mandate inside an established AI Core team, not a proof-of-concept that never ships.</li><li>Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>Competitive salary, strong benefits, and clear scope to grow into staff and principal-level influence.</li><li>The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end.</li></ul> 
Benefits<ul><li> 
Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>A clear path to grow into staff and principal-level technical influence.</li><li>Full support from C-Serv across the hiring process and beyond, with full-cycle accountability.</li><li>A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.</li></ul></div>

<div>About Opportunity
We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers&rsquo; platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning &mdash; powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.
The Role
As one of our AI ML Engineer&rsquo;s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
What You'll Do<ul><li>
Define and drive the technical vision for ML solutions across products and platforms</li><li>
Own the end-to-end software development lifecycle &mdash; from design and code reviews through to deployment and operations</li><li>
Architect high-performance, scalable microservices, including synchronous and asynchronous web services</li><li>
Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing</li><li>
Mentor engineers, set technical direction, and foster a strong team culture</li><li>
Champion engineering excellence, system resilience, and continuous operational improvement</li></ul> 

Requirements 
Required Qualifications<ul><li>
Degree in Computer Science, Mathematics, or a related field</li><li>
5&ndash;10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)</li><li>
5&ndash;10 years of Python expertise, including advanced features and libraries</li><li>
Strong experience designing RESTful APIs (e.g., FastAPI)</li><li>
Proficiency with Docker, Kubernetes, and CI/CD pipelines</li><li>
3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)</li><li>
Proven experience as a tech lead or engineering mentor</li></ul>
Preferred Qualifications<ul><li>
MS or PhD in Computer Science or ML</li><li>
Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT</li><li>
Familiarity with NoSQL and document databases</li><li>
Track record of handling big data, optimising workflows, and improving system performance</li></ul> 
Benefits 
<ul><li>
Health Care Plan (Medical, Dental &amp; Vision)</li><li>
Life Insurance (Basic, Voluntary &amp; AD&amp;D)</li><li>
Paid Time Off (Vacation, Sick &amp; Public Holidays)</li><li>
Family Leave (Maternity, Paternity)</li><li>
Training &amp; Development</li></ul></div>

AI Staff Machine Learning Engineer, General AI, ML & Big Data

Join C-Serv and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

C-Serv

About Company

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI Staff Machine Learning Engineer, General AI, ML & Big Data