Lead machine learning engineer Work, Jobs in Saffron Walden, Ess (with Salaries)

Tech Lead and Engineer Manager
University of Cambridge —Cambridge
- Up to £86,500 a year
- DevOps
- Team management
- Agile
- Annual leave
Specialty Care Launch Lead
Sobi —Cambridge
- Full-time
- Remote
- Microsoft Powerpoint
- Microsoft Word
- English
Quick apply
Sr Manager, Specialist Solutions Architecture, UKI Area Specialist Team (AST)
AWS EMEA SARL (UK Branch) —Cambridge
- Full-time
- AWS
Lead Software Engineer
Redgate —Cambridge
- £70,000 - £85,000 a year
- Full-time
- Hybrid work
- Heavy lifting
- Mentoring
- Training & development
- Annual leave
Lead Delivery Engineer
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- AI
- Annual leave
- Flexible schedule
Quick apply
PPC Innovation & Delivery Lead
Genie Ventures —Cambridge
- £41,010 - £52,727 a year
- Hybrid work
- Continuous improvement
- Travel
- Agile
- Annual leave
- Referral programme
Lead Delivery Engineer
Jagex —Cambridge
- Full-time
- AI
- Annual leave
- Flexible schedule
Paid Social Innovation & Delivery Lead
Genie Ventures —Cambridge
- £41,010 - £52,727 a year
- Hybrid work
- Continuous improvement
- Travel
- Agile
- Annual leave
- Referral programme
Project Technical Lead - AI Systems Simulation
CommonAI C.I.C. —Cambridge
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Cloud Platform Tech Lead
Abcam —Cambridge
- Full-time
- Hybrid work
- Azure
- AWS
- Continuous improvement
- Annual leave
14d
Lead Digital Analyst
Tesco UK —Welwyn Garden City
- Full-time
- Bachelor's degree
- Travel
- Training & development
- Employee assistance programme
1d
Senior Enterprise Account Manager, Amazon Web Services Global Sales (AGS), UK & Ireland Specialised Sales Team
AWS EMEA SARL (UK Branch) —Cambridge
- Full-time
- AWS
- Bachelor's degree

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Tech Lead and Engineer Manager

University of Cambridge -
Cambridge

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Job details

Up to £86,500 a year

Benefits

Annual leave
Company pension

Qualifications

Stakeholder collaboration
IT team management
DevOps
Google Cloud Platform
Performance management
Incident response
Docker
CI/CD pipelines
Team management
Terraform
Continuous integration
Risk management
Employee performance appraisals
Agile
Professional development mentoring
Information technology team management
AI
DevOps implementation
Requirements gathering
GitLab
Terraform provisioning

Full job description

About the role

The University of Cambridge is seeking a hands-on Tech Lead and Engineer Manager to lead a team of engineers building new cloud-native services and modernising existing applications. You will combine technical leadership (including hands-on with people management, setting technical direction while growing your team.

This is a hybrid position based in Cambridge, with amazing benefits, like a defined benefit pension and 41 days of annual leave inclusive of public holidays.

Many of our services are public-facing, supporting ~60,000 University members, so your team's work directly affects the reputation of one of the world's leading universities.

We build using modern web architectural standards emphasising APIs, automation, and CI/CD, maintain a DevOps culture, and are "open by default". Our stack includes Google Cloud, Terraform, GitLab, Python, Django, React, and TypeScript. See our projects in GitLab at https://gitlab.developers.cam.ac.uk/uis/devops and our practices in our Guidebook at https://guidebook.devops.uis.cam.ac.uk/.

What we're looking for

You will be an experienced engineering leader, highly skilled in modern software development, testing, security, and operations, and an expert in:

Architecting secure-by-design web applications and APIs with a focus on maintainability and stability, using clean code.
Integrating applications via APIs, event buses, and / or asynchronous tasks.
Packaging applications in Docker and building CI/CD pipelines in GitLab to deploy to Google Cloud using Terraform.
Running services in production: reliability, observability, and incident response against clear SLOs.
Applying testing best practices and conducting thorough code reviews.
Using AI coding assistants effectively, writing clear prompts, critically reviewing AI-generated code, and taking responsibility for its correctness, security, and maintainability.
Adopting AI strategically and securely across your team and services, setting good practice for its safe use.
Managing technical and delivery risk, including threat modelling, data protection, and compliance.
Driving improvements in architecture, standards, and processes, balancing new delivery against technical debt, and choosing whether to switch off, extend, build, or buy.

Ways of working:

Stay hands-on, contributing high-quality production code, designs, and reviews, and leading by example, while balancing this with your management responsibilities.
Communicate clearly and collaborate with colleagues and users to gather and break down requirements.
Focus on delivery, and drive work to completion, while continuously improving existing services.
Learn new skills proactively.

What you'll be responsible for:

Leading, mentoring, and coaching your cross-functional team using an agile, DevOps approach: one-to-ones, objectives, appraisals, career growth, and addressing underperformance.
Recruiting, interviewing, and onboarding engineers, and planning team capacity and workload.
Managing requirements, priorities, and dependencies across products and teams, including sprint scheduling and backlog grooming.
Tracking delivery and team-health metrics, and reporting progress and risks to leadership.
Owning budget, SaaS, licensing, and supplier decisions, with competitive analysis of options.
Setting technical direction and championing engineering quality, security, and knowledge-sharing, including our Guidebook, runbooks, and architecture decisions.

You will join a team of Tech Leads and Engineer Managers, reporting to the Head of Development and Operations (DevOps).

You don't need to tick every box; if you're excited about this role, we'd encourage you to apply.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department.

If you would like more information about this role, informal enquiries can be directed by email to Abraham Martin, Head of Development & Operations, at [email protected]

Please quote reference VC50584 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online

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Refine Your Search

lead machine learning engineer jobs in saffron walden, ess

Tech Lead and Engineer Manager

Specialty Care Launch Lead

Sr Manager, Specialist Solutions Architecture, UKI Area Specialist Team (AST)

Lead Software Engineer

Lead Delivery Engineer

PPC Innovation & Delivery Lead

Lead Delivery Engineer

Paid Social Innovation & Delivery Lead

Project Technical Lead - AI Systems Simulation

Cloud Platform Tech Lead

Lead Digital Analyst

Senior Enterprise Account Manager, Amazon Web Services Global Sales (AGS), UK & Ireland Specialised Sales Team

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