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

ZipRecruiter; London; Hybrid; GBP 65,000 - 125,000; Full time

Job summary

Aventis Solutions seeks AI/ML Engineers for a leading British tech firm's innovation team. This role offers the chance to develop scalable AI systems in an elite setting, with long-term career progression opportunities and excellent remuneration, including a competitive salary and benefits.

Benefits

10-40% bonus

10% pension contribution

Private healthcare allowance

Strong benefits package

Qualifications

• Experience in building data science and machine learning models.
• Proficiency with modern ML frameworks.
• Strong background in cloud AI tooling.

Responsibilities

• Build and deploy scalable AI systems and LLM applications.
• Contribute to data pipelines and AI training infrastructure.
• Collaborate with cross-functional teams to innovate AI solutions.

Skills

Python

Machine Learning

Data Engineering

DevOps

Statistical Models

LLM Exposure

Big Data Systems

Communication

Tools

AWS SageMaker

TensorFlow

Docker

Kubernetes

Job description

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.

Key details:

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.

Key Skills, Attributes & Tech Desired:

• 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- 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 , 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- 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.