Software engineer python tensorflow Work, Jobs (with Salaries)

Senior Principal AI Engineer
Expleo —London
- Azure
- AWS
- AI
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- £45,000 - £120,000 a year
- Full-time
- Engineering
- C++
- Machine learning
- Free parking
Quick apply
13d
Senior AI / ML Engineer, Medical Imaging
Perceptive —Remote
- Full-time
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- Azure
- English
- AWS
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MEDiSTRAVA —London
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CIS —London
- Azure
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BRAHMA —Remote
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Deep Learning Research Engineer
Plumerai —London
- Full-time
- Hybrid work
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- Python
- Relocation assistance
- Annual leave
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Research Scientist – World Models, Robotics & Embodied AI
Meta —London
- AI
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Machine Learning Engineer
Waymo —London
- £120,000 - £130,000 a year
- Full-time
- Doctoral degree
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AI Engineer
Version 1 —Newcastle upon Tyne
- Full-time
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Senior Engineer (ML Engineer)
Graphcore —London
- Machine learning
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12d
Senior Machine Learning Software Engineer
Oxford Instruments plc —Bristol
- Remote
- Azure
- Computer Science
- Master's degree
- Free parking
- Annual leave
2d
Data Scientist
BAE Systems —Frimley
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Senior Software Engineer, Full Stack - AI
Fitch Group —London
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Machine Learning Engineer
IMC —London
- C++
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Quick apply
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —London
- Full-time
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Senior Principal AI Engineer
Synapri —London
- £90,000 - £120,000 a year
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Staff Machine Learning Engineer, ML Efficiency
Reddit —London
- Remote
- Doctoral degree
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- Java
- Annual leave
Quick apply
Senior AI Engineer, IT Solutions 1 1
Celestica —Remote
- Remote
- Azure
- Computer Science
- Master's degree
Staff Software Engineer (ML QA)
Graphcore —London
- Management
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme

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Senior Principal AI Engineer

Expleo -
London

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Job details

Permanent | Fixed term contract

Qualifications

TensorFlow
Azure
PyTorch
Google Cloud Platform
AWS
AI
Python

Full job description

Overview:

We are seeking a Senior Principal AI Engineer to design, build, and deliver production‑grade AI solutions for complex client environments. This role blends hands‑on AI engineering, technical leadership, and client‑facing consulting, with a strong focus on scalable, secure, and responsible AI delivery.

You will work closely with clients and internal teams to translate business problems into engineered AI solutions, covering the full lifecycle from data ingestion through to deployment, monitoring, and optimisation.

Responsibilities:

AI Engineering & Delivery
- Design, develop, and deploy end‑to‑end AI/ML solutions, including classical ML and generative AI use cases.
- Build and maintain production‑ready AI pipelines (data ingestion, feature engineering, model training, evaluation, deployment, monitoring).
- Apply MLOps best practices, including CI/CD for models, versioning, automated retraining, monitoring, and rollback.
- Ensure AI solutions are scalable, secure, performant, and reliable in real‑world environments.
Architecture & Technical Leadership
- Define AI solution architectures aligned to client needs, constraints, and long‑term sustainability.
- Set and uphold engineering standards for AI development, testing, deployment, and monitoring.
- Evaluate and introduce emerging AI technologies (e.g. GenAI, LLMs, vector databases) where they deliver clear value.
Client Engagement
- Engage directly with clients to understand AI use cases, data readiness, risks, and success criteria.
- Lead technical workshops and solution design sessions with client stakeholders.
- Act as a trusted technical adviser, guiding AI feasibility, trade‑offs, and implementation strategy.
Responsible AI & Governance
- Embed Responsible AI principles including explainability, bias mitigation, auditability, and data privacy.
- Ensure compliance with data protection regulations (e.g. GDPR) and industry standards.
Team & Capability Development
- Mentor AI engineers and data scientists, providing technical guidance and code/model review.
- Contribute to internal accelerators, reusable components, and AI delivery playbooks.

Essential skills:

Solid software engineering background (Python required; additional languages a plus).
Ability to communicate complex technical concepts clearly to non‑technical stakeholders.

Experience:

Strong experience as an AI Engineer, ML Engineer, or similar role delivering production AI systems.
Experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit‑learn).
Proven experience with MLOps and deploying models into live environments.
Cloud experience (Azure, AWS, or GCP).

Benefits:

Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges
We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
Competitive company benefits
Always working as one team, our people are not afraid to think big and challenge the status quo

As a Disability Confident Committed Employer we have committed to:
- Ensure our recruitment process is inclusive and accessible
- Communicating and promoting vacancies
- Offering an interview to disabled people who meet the minimum criteria for the job
- Anticipating and providing reasonable adjustments as required
- Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”.

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

Apply Now

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