Machine learning engineer Work, Jobs in Horfield, Bst (with Salaries)

Senior Machine Learning Engineer
Rowden —Bristol
- £55,000 - £85,000 a year
- Full-time
- Hybrid work
- Master's degree
- SQL
- AWS
Quick apply
Senior Data Engineer
Ecotricity —Stroud
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Python
- Free parking
- Work from home
Quick apply
Machine Learning Engineer (KTP Associate)
University of Bath —Bath
- £43,000 - £51,000 a year
- Full-time
- Hybrid work
- Project management
- University
- Machine learning
- Employee discount
Product Manager
Narwhal Labs —Bristol
- £40,000 - £70,000 a year
- Full-time
- Hybrid work
- Engineering
- Product management
- APIs
Quick apply
8d
Infrastructure Engineer
Ecotricity —Stroud
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
- Free parking
- Employee discount
Quick apply
10d
Business Development Executive
GDS Group —Bristol
- £50,000 - £70,000 a year
- Full-time
- Business development
- AWS
- Communication skills
Quick apply
7d
Engineer
IAAPS —Bristol
- £36,000 a year
- Full-time
- Hybrid work
- Engineering
- Analysis skills
- Machine learning
- Free parking
12d
Software Engineer (Mid and Senior Levels)
One Big Circle —Bristol
- £36,000 - £70,000 a year
- Full-time
- AWS
- C++
- Machine learning
Quick apply
Senior AI Engineer
HGEM Ltd —Bath
- £65,000 - £70,000 a year
- Full-time
- Hybrid work
- Hospitality
- Azure
- English
- Profit sharing
- Work from home
Quick apply
14d
Information Governance Manager
Somerset Bridge Group —Bristol
- Full-time
- Hybrid work
- Management
- Presentation skills
- Financial services
- Annual leave
- Referral programme
Quick apply
Data Enrichment Manager
Somerset Bridge Group —Bristol
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Maths
- Annual leave
- Referral programme
Quick apply
Product Operations Assistant - Rail
One Big Circle —Bristol
- £26,500 a year
- Full-time
- Google Suite
- Customer service
- Microsoft Office
Quick apply
14d
SOC Analyst
Welsh Water —Cardiff
- £52,793 - £62,032 a year
- Hybrid work
- Azure
- Microsoft Office
- AWS
- Annual leave
- Employee assistance programme
12d
Commercial Support Executive - Landing Gear
Executive Jet Support Ltd —Chippenham
- Up to £35,000 a year
- Full-time
- Hybrid work
- Customer service
- Microsoft Office
- AWS
- Free parking
- Employee assistance programme
Quick apply
Digital Transformation Consultants
i3Works —Bristol
- £45,000 - £70,000 a year
- Full-time
- Hybrid work
- Business development
- Continuous improvement
- Agile
- Annual leave
- Life insurance
IT Services Lead
Redkite Law —Cardiff
- Full-time
- Travel
- Organisational skills
- IT
- Annual leave
Quick apply
Senior User Researcher
Serco Group —Bristol
- £45,000 - £50,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Presentation skills
- IT
- Employee assistance programme
- Employee discount
19h
Internal Sales
KGE Consultants Ltd —Trowbridge
- £28,000 - £32,000 a year
- Full-time
- Customer service
- Microsoft Office
- AWS
- Free parking
Quick apply
Application Support Engineer
Clue Software —Bristol
- Up to £35,000 a year
- Hybrid work
- Azure
- Salesforce
- SQL
7d
Verification Engineering Trainee (f/m/div)
Infineon Technologies AG —Bristol
- Temporary
- Engineering
- English
- Analysis skills

I want to receive the latest job alerts for machine learning engineer in horfield, bst

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning engineer jobs near horfield, bst

Senior Machine Learning Engineer

Rowden
Bristol

Quick apply

Job details

Permanent | Full-time
£55,000 - £85,000 a year

Qualifications

Jira
Rust (programming language)
Law
Kubernetes
Spark
Master's degree
SQL
AWS
Docker
Machine learning
Software development
GitHub
Communication skills
Python
Raspberry Pi

Full job description

Description

We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience.

At Rowden, we design and integrate advanced systems and products that sense, connect, and protect data in challenging environments where quick decisions are vital. Our solutions use intelligent automation to enhance speed and efficiency and are built to be reliable and straightforward for critical operations in remote or high-pressure settings.

Headquartered in Bristol (UK), we combine modern engineering methods with cutting-edge commercial technology to create adaptable, mission-critical systems. We focus on solving the tough challenges that others overlook, ensuring our customers can operate effectively in an ever-changing world.

About the role

We are growing our ML team to support new projects and product developments. We are looking for AI builders; you will be working on developing and deploying AI systems to solve complex problems that have real-world impact.

You’ll join an existing ML team that works in close collaboration with software, hardware and systems teams to get useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across traditional ML, deep learning, data engineering and LLM/agentic systems.

As a Senior ML Engineer, you will be responsible for leading development effort on projects and products. You will design end-to-end solutions from early concepts to deployment, owning the quality of the software and ML solution. As a senior you will be expected to mentor colleagues in the team, maintain coding standards and act as a role-model for good ML, data, and software practices and advocate for this in your work around the business.

No prior defence experience is required. We’re interested in people who’ve built and deployed AI systems in demanding environments and are passionate about delivering tangible value to end users, whatever the sector.

Candidates must be eligible for SC clearance.

More information about security clearance is available here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels

Key areas of responsibility

Own and ship ML in production: take ideas from R&D to robust, maintainable deployments, often onto edge or embedded hardware.
End-to-end ownership: data collection/curation, feature engineering, model training, evaluation, deployment, monitoring, and iteration.
Technical leadership: set direction, guide design, perform reviews, mentor teammates, and raise the engineering bar.
MLOps/LLMOps: CI/CD for models, containerisation/orchestration, experiment tracking and registry, model evaluation pipelines, safety guardrails, canaries, and performance monitoring.
Cross-team collaboration: partner with software, systems, and product colleagues; simplify complex topics for other disciplines and customers.
Data foundations: establish pragmatic data pipelines (batch/stream) that make curation, provenance, and reproducibility first-class.

Key skills, experience and behaviours

We don’t expect anyone to be a 10/10 in every area, and you don’t need to tick every single bullet point to apply. What follows is a list of the skills and experience that we think matter most for this role. Different strengths are welcome, and we recognise that people grow into roles like this - don’t let this list put you off!

Proven delivery: multiple years leading technical work that delivered measurable impact in production, especially on edge, embedded, or mission-critical systems.
ML & maths depth: strong grounding in ML/DL (optimisation, generalisation, probability, model architecture) and the ability to reason about these trade-offs in production.
LLMs & agentic systems: practical experience with prompt optimisation, retrieval/RAG, evaluation, and tool orchestration; aware of latency, cost, and reliability trade-offs.
MLOps excellence: reproducible pipelines, model versioning, CI/CD, observability, and automated evaluation.
Data engineering: proficiency with Databricks, Apache Spark, Delta Lake, MLflow, and SQL; experience integrating datasets and maintaining data quality.
Software development: Strong python skills, experience with low-level languages like Rust is desirable.
Interpersonal skills: strong communicator who can mentor, influence, and bridge technical and non-technical audiences.
Education: Strong foundation in computer science or related disciplines, gained through formal education or hands-on experience.
Builder mindset: bias to action, ownership over outcomes, and comfort working through ambiguity.

Desirable (not essential)

General tooling and platforms: Databricks, AWS, GitHub, Docker/Kubernetes, MLflow, Jira.
Edge deployments: Nvidia Jetson (e.g. AGX Orin), Raspberry Pi, or other embedded accelerators.
LLM/Agent tooling: DSPy, llama.cpp, vLLM, evaluation harnesses, prompt optimisation, agent frameworks.
Operational practices: incident response, canary deployments, cost/performance optimisation across edge and cloud.

About you

You’ve built ML systems that persist, deployed in real settings, iterated over time, and improved through real-world feedback. You enjoy guiding others, keeping systems healthy, and making the complex understandable.

Working at Rowden

We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds, so please apply and come as you are!

We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid-working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part-time working requirements and/or workplace adjustments with all our applicants.

Rowden is a Disability Confident Committed company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible.

Finally, if you feel that you don’t meet all the criteria included above but have transferable skills and relevant experience, we’d still love to hear from you!

About Rowden

What matters to us?

Our focus is on the end user. We exist to deliver the best possible outcomes for the users of our systems.
Pace matters. The problems we solve are urgent.
Our diverse skills and backgrounds make us better. Our team prides itself on being inclusive and multidisciplinary.
We are radically honest. Saying what we mean, even when it isn’t easy.
We are pragmatists. We provide realistic, focused solutions that get to the point.
We improve continuously. We are relentless in our drive to make things better.

Quick apply

Refine Your Search

machine learning engineer jobs in horfield, bst

Senior Machine Learning Engineer

Senior Data Engineer

Machine Learning Engineer (KTP Associate)

Product Manager

Infrastructure Engineer

Business Development Executive

Engineer

Software Engineer (Mid and Senior Levels)

Senior AI Engineer

Information Governance Manager

Data Enrichment Manager

Product Operations Assistant - Rail

SOC Analyst

Commercial Support Executive - Landing Gear

Digital Transformation Consultants

IT Services Lead

Senior User Researcher

Internal Sales

Application Support Engineer

Verification Engineering Trainee (f/m/div)

I want to receive the latest job alerts for machine learning engineer in horfield, bst

Related Searches

Explore jobs in more locations

Description

Key areas of responsibility

Key skills, experience and behaviours

Working at Rowden

About Rowden

Jobseeker tools

Employer Tools

Browse

Stay Connected