AI/ML Engineer - Senior, Principal & Team Lead - Team Build

JR United Kingdom; London; Hybrid; GBP 65,000 - 125,000; Full time

Job summary

A leading tech company is seeking AI/ML Engineers to join their innovation team. Candidates will develop scalable AI systems and contribute to advanced AI projects. This role offers career progression and a flexible hybrid working model, along with competitive salary and benefits.

Benefits

10-40% bonus

10% pension contribution

Private healthcare allowance

Strong benefits package

Flexible hybrid working model

Qualifications

• Strong background in building and deploying AI systems.
• Experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with big data systems (e.g., Spark, Kafka).

Responsibilities

• Contribute to AI system development and deployment.
• Design and build data pipelines and training infrastructure.
• Collaborate with cross-functional teams in agile environments.

Skills

Python

Machine Learning

Data Science

Cloud-native AI Tooling

Big Data Systems

Job description

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AI/ML Engineer - Senior, Principal & Team Lead - Team Build, london

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Client:

Aventis Solutions

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Aventis Solutions has partnered with a fast-growing British tech team seeking a series of AI/ML Engineers, including Senior, Principal & Team Leads, to build scalable, production-grade AI systems and help shape a forward-thinking machine learning and engineering capability. This is your opportunity to work in an elite innovation team, surrounded by cutting-edge tools and backed by the resources of a global tech leader. We're looking for a range of AI engineers, so if you have a strong background as a data scientist, a data engineer, or a full-stack software engineer, we'd like to hear from you.

Salary: £65,000-£125,000 + 10-40% bonus + 10% pension contribution + private healthcare allowance + strong benefits package

Location: London HQ + flexible hybrid working model (remote)

Future Outlook: Long-term career progression toward Lead or Staff Engineer, AI/ML Enterprise Architect, or senior leadership positions. As the AI Innovation Lab grows, there will be ample opportunity to specialise in advanced areas such as LLM systems, MLOps, or cloud AI platforms, or to take on broader product or technical leadership roles.

• Builder: Solid background in building and deploying data science, machine learning or statistical models at scale, ideally within product environments or a data-rich business.
• Tech-savvy: Proficient in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Strong command of cloud-native AI tooling (e.g., AWS SageMaker, GCP Vertex AI, AzureML/AzureAI, MLflow, Weights & Biases).
• Well-rounded Engineer: Comfortable working with version-controlled codebases, DevOps pipelines, containerisation/microservices (Docker/Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too.
• Data-driven: Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal.
• LLM-curious: Hands-on exposure to LLMs or interest in working on generative AI use cases (e.g., embeddings, retrieval-augmented generation, fine-tuning). Exposure to the likes of LangChain, OpenAI API, Anthropic Claude, Mistral, Groq, Cohere, vLLM or similar is desirable.
• Innovator: Passionate about experimentation and new techniques. You enjoy solving complex problems, building reusable ML components, and staying up to date with frontier AI tools and architecture: agentic AI.
• Collaborative: A great team player who works well with cross-functional colleagues in product, data engineering, and DevOps. You're comfortable pair-programming, reviewing code, and participating in agile ceremonies.
• Commercial: You understand the impact of artificial intelligence and machine learning on real-world outcomes and enjoy shaping systems that make a tangible difference to users or business metrics.
• Communication: Able to clearly explain complex concepts to a range of audiences. Comfortable presenting ideas, sharing research findings, or demoing model performance.
• Regulated Industry Exposure: Background or exposure to domains like banking, insurance, FinTech, energy or asset management is a plus, but it is not required.

Role Overview:

AI/ML Engineers: AI Innovation Team: You'll help build the technical backbone of this next-generation AI lab, contributing to everything from data pipelines and training infrastructure to the deployment of advanced AI systems and LLM-powered applications. We're looking for any of the following: Data Scientist, Python Engineer, MLOps Engineer, AI Engineer, Machine Learning Engineer, Data Engineer, Full-stack software engineers and similar to become forward-thinking innovators.

The team is highly technical, research-oriented, and focused on experimentation. The company is already investing heavily in AI infrastructure, model tooling, and R&D environments. So, you’ll play a critical role in designing, training, evaluating, and deploying production-ready models while contributing to reusable architecture and automation for future scalability.

Interested? Please submit your CV via LinkedIn or message Billy Hall for further information.

Aventis Solutions is acting on behalf of our partner.