Lead ml engineer Work, Jobs in Wembley, Gtl (with Salaries)

Lead ML Engineer
NewDay —London
- Full-time
- AWS
- Communication skills
Lead Systems Engineer
Leonardo UK Ltd —Luton
- £67,000 - £81,000 a year
- Full-time
- Hybrid work
- Flexible schedule
- Referral programme
1d
AI Engineering Lead
TP ICAP —London
- Full-time
- AWS
- Analysis skills
- APIs
12d
Lead Computer Vision Engineer
Faculty —London
- Full-time
- Hybrid work
- Machine learning
- Travel
- Leadership
- Annual leave
Lead AI Engineer
Capgemini Sogeti —London
- Hybrid work
- Azure
- Master's degree
- AWS
6d
Lead AI Engineer
RedCloud —London
- Hybrid work
- APIs
- AI
- Leadership
- Annual leave
- Employee discount
Engineering Recruitment Lead (Physical AI / Humanoid Robotics)
Humanoid —London
- Full-time
- AI
- Annual leave
Quick apply
Lead Solutions Engineer
Taktile —London
- Full-time
- Hybrid work
- Sales
- APIs
- Financial services
Engineering Lead - Optical Systems & Photonics Hardware (Healthtech, Deep tech)
iLoF —London
- Full-time
- Remote
- Doctoral degree
- Engineering
- Master's degree
Quick apply
Technical Delivery Lead, Technology Programme Delivery, Engineering, Technology & Transformation
Deloitte —London
- Hybrid work
- Azure
- Java
- SQL
7d
Lead Product Designer – AI
NTT Data UK —London
- System design
- Machine learning
- Mentoring
Lead Product Designer – AI
NTT Ltd —London
- System design
- Machine learning
- Mentoring

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Lead ML Engineer

NewDay -
London

Apply Now

Job details

Full-time

Qualifications

AWS
Data science
Communication skills

Full job description

Are you ready to define how machine ‑ learning systems are delivered, operated , and scaled across a data ‑ driven organisation ? NewDay are looking for a Lead ML Engineer to set the standards, patterns, and technical foundations that define how machine learning models are delivered and operated in production.

Why this role matters

As the technical lead within our MLOps function, you will shape how ML is engineered in practice. This r ole will focus on establishing the standards, patterns, and technical approaches that enable models to move reliably from experimentation into robust production.

You will shape how ML systems are engineered in practice through clear lifecycle standards, reusable approaches, and strong technical foundations.

How you'll contribute

Establish standard, reusable patterns for model serving, pipelines, and deployment.
Define standards for model packaging, versioning, CI/CD, monitoring and observability.
Set clear production readiness criteria for models entering engineering workflows.
Provide technical direction for ML solutions delivered within the team.
Evolve platform capabilities that reduce bespoke approaches over time.
Reduce engineering effort required to productionise models by establishing reusable approaches and platform capabilities.

We’re looking for these essential skills

Experience building and operating ML systems in production, including model serving, monitoring, and lifecycle management.
Strong understanding of serving patterns across batch and real ‑ time environments, and how models move from training to production.
Experience defining engineering approaches that enable Data Science teams to deliver reliable, production ‑ ready models.
Ability to turn ambiguity into clear, adoptable technical standards and reusable patterns.
Experience setting technical direction and influencing engineering practices across teams.
Hands ‑ on experience with cloud ML platforms (e.g., AWS SageMaker) and orchestration tools (e.g., Airflow, Step Functions)
Strong communication skills and the ability to collaborate across Data Science, Engineering, and Data Platforms.

How you work

You are comfortable operating at the boundary between experimentation and production ‑ grade ML delivery.
You value structure, consistency, and high standards in engineering practices.
You think in terms of reusable frameworks rather than one ‑ off solutions.
You are motivated by improving reliability and long ‑ term maintainability of ML systems.
You bring clarity, direction, and technical leadership to complex problem spaces.

#LI-Hybrid

#LI-TM1

At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.

Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you.

We work with Textio to make our job design and hiring inclusive.

Permanent

Apply Now

Refine Your Search

lead ml engineer jobs in wembley, gtl

Lead ML Engineer

Lead Systems Engineer

AI Engineering Lead

Lead Computer Vision Engineer

Lead AI Engineer

Lead AI Engineer

Engineering Recruitment Lead (Physical AI / Humanoid Robotics)

Lead Solutions Engineer

Engineering Lead - Optical Systems & Photonics Hardware (Healthtech, Deep tech)

Technical Delivery Lead, Technology Programme Delivery, Engineering, Technology & Transformation

Lead Product Designer – AI

Lead Product Designer – AI

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