AI ML Platform Lead in Worcester

AI ML Platform Lead in Worcester

Worcester Full-Time 80000 - 100000 £ / year (est.) No home office possible
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team.blue Global

At a Glance

  • Tasks: Lead the development of cutting-edge AI/ML platforms and drive innovation across teams.
  • Company: Join team.blue, a leading digital enabler empowering over 3.5 million SMBs in Europe.
  • Benefits: Competitive salary, flexible work options, and a commitment to diversity and inclusion.
  • Why this job: Make a real impact in the AI/ML space while collaborating with top experts.
  • Qualifications: 6+ years in AI/ML platforms, strong DevOps skills, and a passion for innovation.
  • Other info: Dynamic environment with a focus on sustainability and community impact.

The predicted salary is between 80000 - 100000 £ per year.

The most trusted digital enabler, team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and empower businesses with innovative digital services.

team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.5 million SMB customers with everything they need to succeed online by offering best-in-class expertise and services. team.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions, as well as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.

We are looking for a highly skilled AI/ML Platform Lead to technically lead our AI & ML Platform Operations team. The ideal candidate will lead the development and maintenance of our enterprise AI & ML platform to serve AI & ML workloads across the group.

Key Responsibilities:
  • Platform Development
    • Architect and implement infrastructure platforms tailored for AI/ML workloads, focusing on scaling private cloud environments to support high-throughput training, inference, and Agentic workflows and pipelines.
    • Build the Core GenAI application platform powering generative AI use cases across all of the team.blue group.
    • Design and develop scalable services and tools to support GPU-accelerated AI pipelines, leveraging Kubernetes, Python/Go, and observability frameworks.
    • Build and drive adoption of emerging AI/LLMOPs technologies, integrating AI Agents, RAGs, and LLMs using MCP workflows to streamline automation, performance tuning, and large-scale data insights.
    • Drive cross-functional adoption of AI tooling by delivering reusable components and intuitive interfaces, increasing developer productivity through automation, metrics dashboards, and streamlined GenAI integrations.
  • Platform Strategy
    • Set the technical roadmap for platform capabilities, balancing innovation with reliability and compliance.
    • Ensure the platform adheres to emerging standards of security, fairness, and explainability for LLM systems.
  • Technical Leadership & Mentorship
    • Mentor and collaborate with a multidisciplinary team of network engineers, automation engineers, AI and ML scientists, product managers, and multiple domain experts.
    • Provide technical leadership in operationalizing LLMs in production, including latency management and prompt versioning.
  • Solution Development Support
    • Support initiatives in Generative AI systems design, including Retrieval-Augmented Generation (RAG), LLM fine-tuning, semantic search, and multi-modal data processing.
    • Build and optimize ML platform systems for document understanding, vector-based retrieval, and knowledge graph integration.
Ideal Profile:
  • 6+ years of hands-on experience building AI & ML platforms and infrastructure, using DevOps, infrastructure tools like Kubernetes, Docker, and Terraform.
  • Deep understanding of current AIOps & MLOps practices, deploying and monitoring real-time inference models and ETL pipelines.
  • Experience with LLM toolchains such as LangChain, LlamaIndex, or OpenAI APIs.
  • Deep understanding of model inference optimization (e.g., quantization, ONNX, streaming).
  • Knowledge of RAG systems, vector databases (e.g., Qdrant, Pinecone), LLM inference engines (e.g., vLLM, Tensor-LLM, Ollama).
  • Experience operationalizing LLMs in production, including latency management and prompt versioning (e.g., Llama, BERT, Whisper, etc).
  • Proficiency in backend development with Python (leveraging frameworks like FastAPI), microservices architecture, and event-driven architecture (e.g., Kafka, SSE, WebSocket).
  • Strong problem-solving skills with excellent communication and documentation skills.
  • Ability to work collaboratively with cross-functional teams.

At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas.

At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals.

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

AI ML Platform Lead in Worcester employer: team.blue Global

At team.blue, we pride ourselves on being a leading digital enabler that fosters a vibrant and inclusive work culture. Our commitment to employee growth is evident through our focus on mentorship and collaboration within multidisciplinary teams, ensuring that every individual has the opportunity to thrive in their career. With a strong emphasis on innovation and sustainability, working at our dynamic location not only allows you to contribute to cutting-edge AI/ML solutions but also to be part of a company that values diversity and environmental responsibility.
team.blue Global

Contact Detail:

team.blue Global Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI ML Platform Lead in Worcester

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the AI/ML space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML platforms. This is your chance to demonstrate what you can do beyond the CV. Share it on LinkedIn or your personal website.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and think about how your experience aligns with the role of AI ML Platform Lead. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board!

We think you need these skills to ace AI ML Platform Lead in Worcester

AI/ML Platform Development
Infrastructure Architecture
Kubernetes
Python
Go
Observability Frameworks
Generative AI
AIOps
MLOps
LLM Toolchains
Model Inference Optimization
RAG Systems
Vector Databases
Backend Development
Microservices Architecture
Problem-Solving Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI/ML Platform Lead role. Highlight your hands-on experience with AI & ML platforms, DevOps tools, and any relevant projects you've worked on.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and ML. Share specific examples of how you've led teams or projects in this space, and how you can contribute to our mission at team.blue.

Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your experience with Kubernetes, Python, and any LLM toolchains you've used. We want to see how you can bring your skills to our platform development.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining team.blue!

How to prepare for a job interview at team.blue Global

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like Kubernetes, Python, and LLMs. Brush up on your knowledge of AI/ML platforms and be ready to discuss how you've used these tools in past projects.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex problems you've solved in AI/ML environments. Be specific about the challenges you faced, the solutions you implemented, and the outcomes. This will demonstrate your critical thinking and technical leadership abilities.

✨Understand the Company’s Vision

Familiarise yourself with team.blue's mission and values. Think about how your experience aligns with their goals of empowering businesses through innovative digital services. This shows that you’re not just looking for a job, but are genuinely interested in contributing to their success.

✨Prepare for Collaborative Discussions

Since the role involves mentoring and working with cross-functional teams, be ready to discuss your approach to collaboration. Share examples of how you've successfully worked with diverse teams and how you handle differing opinions or conflicts.

AI ML Platform Lead in Worcester
team.blue Global
Location: Worcester
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