Software engineer python tensorflow Work, Jobs (with Salaries)

Machine Learning Engineer
Faculty —London
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
- Annual leave
Senior AI Engineer
aPriori Technologies —Belfast
- Night shift
- Remote
- Azure
- Computer Science
- Master's degree
- Flexible schedule
1d
Senior Engineer (ML Engineer)
Graphcore —London
- Machine learning
- Linux
- Python
- Annual leave
8d
Machine Learning Engineer
IMC —London
- C++
- Machine learning
- Python
Quick apply
AI Engineer
Version 1 —Newcastle upon Tyne
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
- Employee assistance programme
- Employee discount
Quick apply
10d
Senior Principal AI Engineer
Expleo —London
- Azure
- AWS
- AI
Senior Machine Learning Engineer
AECOM —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
- Annual leave
Senior Machine Learning Engineer
Proximie —London
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
- Flexible schedule
Quick apply
14h
Machine Learning Engineer
Trustpilot —London
- Azure
- AWS
- Machine learning
- Employee assistance programme
- Employee discount
AI Solutions Engineer - Vice President - London
Goldman Sachs —London
- Full-time
- Azure
- Computer Science
- Engineering
- Employee assistance programme
Forward-Deployed Data Scientist II
Braze —London
- Doctoral degree
- Computer Science
- DevOps
- Employee stock purchase plan
- Annual leave
Quick apply
Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Maths
- Machine learning
Quick apply
AI Infrastructure Engineer
Google —London
- Computer Science
- Java
- C++
1d
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —London
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Research Engineer
IXICO —London
- Full-time
- Hybrid work
- Doctoral degree
- Presentation skills
- Machine learning
- Annual leave
- Employee assistance programme
Lead Forward Deployed Engineer
Faculty —London
- Full-time
- Hybrid work
- Azure
- AWS
- AI
- Annual leave
External - AI Architect (m/f/*)
Solventum —Loughborough
- Full-time
- Computer Science
- Master's degree
- SQL
Senior Dev/ML Ops Engineer
Humanoid —London
- Full-time
- Azure
- DevOps
- AWS
- Annual leave
- Sick pay
Quick apply
Principal Data & AI Trainer
QA —London
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Senior Applied Scientist, Insights, Prime Video
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Engineering
- Java

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Machine Learning Engineer

Faculty
London

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Job details

Full-time

Benefits

Annual leave
Private medical insurance

Qualifications

TensorFlow
Cloud infrastructure
Azure
Kubernetes
PyTorch
Google Cloud Platform
AWS
Docker
Machine learning
Python

Full job description

Why Faculty?

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About the team

Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.

From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.

Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.

About the role

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients.

You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.

What you'll be doing:

Building and deploying production-grade ML software, tools, and infrastructure.
Creating reusable, scalable solutions that accelerate the delivery of ML systems.
Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
Leading technical scoping and architectural decisions to ensure project feasibility and impact.
Defining and implementing Faculty’s standards for deploying machine learning at scale.
Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.

Who we're looking for:

You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.
You possess strong Python skills and solid experience in software engineering best practices.
You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.
You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
You are comfortable with core ML concepts, including probability, statistics, and common learning techniques.
You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.
You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions

Our Interview Process

Talent Team Screen (30 minutes)
Pair Programming Interview (90 minutes)
System Design Interview (90 minutes)
Commercial Interview (60 minutes)

#LI-PRIO

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Apply Now

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software engineer python tensorflow jobs

Machine Learning Engineer

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Principal Data & AI Trainer

Senior Applied Scientist, Insights, Prime Video

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