Senior machine learning engineer Work, Jobs in Oxted, Sry (with Salaries)

Senior Machine Learning Engineer
Zaizi —London
- £80,000 - £95,000 a year
- Hybrid work
- AI
- Annual leave
- Work from home
Quick apply
6d
Senior Machine Learning Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- Computer Science
- Machine learning
- Software development
- Gym membership
Quick apply
Senior Machine Learning Engineer
Lunio —London
- £70,000 - £90,000 a year
- Full-time
- Hybrid work
- AWS
- AI
Senior Machine Learning Engineer
Qureight Ltd —London
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
11d
Senior Machine Learning Engineer
Proximie —London
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
- Flexible schedule
Quick apply
Senior Machine Learning Engineer
Tripledot Studios —London
- Hybrid work
- Bachelor's degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
Senior Machine Learning Engineer
Houseful —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Annual leave
- Referral programme
Quick apply
Senior Machine Learning Engineer
Relay Technologies —London
- Full-time
- Machine learning
Senior Machine Learning Engineer
CFC —London
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- Mentoring
Quick apply
Senior Machine Learning Engineer
Checkout.com —London
- Full-time
- Hybrid work
- Machine learning
- Communication skills
Quick apply
Senior Machine Learning Engineer
International SOS —London
- Hybrid work
- Master's degree
- Machine learning
- AI
6d
Senior Machine Learning Engineer
Deliveroo —London
- Full-time
- Machine learning
- Mentoring
- AI
Senior Machine Learning Engineer
G MASS —London
- Hybrid work
- Computer Science
- Master's degree
- AWS
Quick apply
Lead Machine Learning Research Engineer
Blankstate —London
- £95,000 - £140,000 a year
- Full-time
- Research
- Machine learning
- Leadership
Quick apply
Senior Machine Learning Engineer
HSBC Global Services Limited —London
- Full-time
- Master's degree
- Databases
- Machine learning
9d
Senior Machine Learning Engineer, Ranking
Depop —London
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Employee assistance programme
Senior Machine Learning Engineer, Perception
Rivian —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Machine Learning Engineer
AECOM —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
- Annual leave
Senior Machine Learning Engineer, Ads Foundational Representations
Reddit —London
- Remote
- Leadership
- Annual leave
Quick apply
Senior Machine Learning Scientist
Qureight Ltd —London
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Life insurance
Quick apply
11d

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Senior Machine Learning Engineer

Zaizi -
London

Quick apply

Job details

£80,000 - £95,000 a year
6 days ago

Benefits

Cycle to work scheme
Annual leave
Company pension
Work from home
Discounted gym membership
Private medical insurance
Paid volunteer time

Qualifications

TensorFlow
Rust (programming language)
PyTorch
Data structures
Machine learning modelling
Natural language processing
JSP
AI
Graph databases

Full job description

We are seeking a Senior Machine Learning Engineer to lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines. In this role, you will transition state-of-the-art Small Language Models (SLMs) and knowledge graph pipelines into air-gapped, degraded, and bandwidth-constrained tactical hardware.

You will ensure all deployed AI capabilities comply with UK Defence standards for Dependable AI (JSP 936), delivering deterministic, explainable, and human-in-the-loop decision-support tools for intelligence and operational users.

Requirements

Edge Model Optimization & Deployment: Quantize, fine-tune, and optimize open-source SLMs (e.g., Gemma 3, Llama 3) and vision-language models for execution on low-power edge runtimes (LiteRT / TensorFlow Lite, ONNX Runtime, ExecuTorch).
Knowledge Analytics & Graph Processing: Design, implement, and maintain lightweight on-device graph databases and relationship extraction pipelines (Python, Rust, or C++) to process structured and unstructured sensor data.
JSP 936 & AI Governance: Implement bounding guardrails, prompt evaluation, and anti-hallucination controls to ensure 100% compliance with MoD AI ethics, safety, and non-kinetic governance standards.
Data & MLOps Pipelines: Build reproducible model training, evaluation, and containerised deployment pipelines capable of operating in air-gapped or low-bandwidth environments.
Technical Client Advisory: Translate complex ML/AI concepts into clear technical recommendations for MoD stakeholders, DSTL assessors, and Prime contractors.

Required Qualifications & Experience

Defence & AI Governance

Active UK SC Clearance (minimum).
Strong understanding of AI safety, non-repudiation, and human-in-the-loop operational constraints (JSP 936 V1.1 / Dependable AI).
ML & Edge Inference Mastery

3+ years of production experience deploying ML models to edge runtime environments (LiteRT/TFLite, ONNX, C++ bindings).
Experience in model quantization techniques (INT8, INT4, AWQ) and execution acceleration across NPU/GPU hardware.
Proficiency in Python and PyTorch/HuggingFace ecosystems.
Data Structures & Knowledge Processing

Solid foundation in natural language processing (NLP), semantic summarisation, and graph-based data structures (Graph DBs, vector embeddings, network analysis).
Understanding of data serialization formats (Protobuf, JSON, XML) and streaming analytics.

Desirable / Bonus Qualifications

Experience integrating ML runtimes into Android ART (via Chaquopy, JNI, or native C++ libraries).
Background in processing military sensor feeds, signals intelligence (SIGRF), or Cursor-on-Target (CoT) data.
Publications or prior project delivery with DSTL, DAIC, or Defence Innovation programs.

Benefits

Studies show that women and black, Asian and minority ethics people are less likely to apply for a job unless they meet every qualification. So if you’re excited about this role but your experience doesn’t align perfectly with the job description, we’d love you to still apply. You might just be the perfect person for this role, or another role here at Zaizi.

We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio-economic backgrounds.

If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process—just ask!

SC Clearance:

Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously.

Benefits

Compensation

Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value.
Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%.
Protection: Comprehensive Group Life Assurance for peace of mind.

Purpose & Culture

Real Impact: Work on mission-critical projects that secure and improve the UK's digital infrastructure.
Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success.
Service & Community: We support those who serve. 10 paid days for Reservist Military Service.

Work / Life Balance

Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle.
Giving back: 2 paid volunteering days per year.

Development & Growth

Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave.
Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you—work-related or not.
Support: Access to 1-2-1 professional coaching and team training to accelerate your career.

Health & Balance

Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).
Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup.
Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.

Quick apply

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