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1,178

Machine Learning jobs in United Arab Emirates

Senior Machine Learning Engineer in Greater London

Energy Jobline ZR

Greater London
Hybrid
GBP 65,000 - 90,000
4 days ago
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Laboratory Technician in Neuroscience (751618) in Glasgow

Energy Jobline ZR

Glasgow
On-site
GBP 27,000
4 days ago
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AI Software Development Support Engineer in London

Energy Jobline ZR

City Of London
Hybrid
GBP 30,000 - 35,000
4 days ago
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Data Scientist, United Kingdom - BCG X in London

Energy Jobline ZR

City Of London
On-site
GBP 60,000 - 90,000
4 days ago
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AI Software Development Support Engineer in City of London

Energy Jobline ZR

City Of London
Hybrid
GBP 30,000 - 35,000
4 days ago
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Lab Operations Manager in Cambridge

Energy Jobline ZR

Cambridge
On-site
GBP 81,000 - 107,000
4 days ago
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Digital Innovation Industrial Placement

targetjobs UK

Brighton
Hybrid
GBP 24,000 - 29,000
4 days ago
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Technical Business Analyst

Pros2Work

Birmingham
Hybrid
GBP 34,000 - 40,000
4 days ago
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Technical Business Analyst

Pros2Work

England
Hybrid
GBP 45,000
4 days ago
Be an early applicant

Senior Pricing Analyst

Miryco Consultants Ltd

Manchester
On-site
GBP 59,000 - 70,000
4 days ago
Be an early applicant

Client Partner | Enterprise Platform Sales

Aera Technology

City Of London
Hybrid
GBP 80,000 - 100,000
4 days ago
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Senior Solution Architect

Lloyds Banking Group

City of Edinburgh
Hybrid
GBP 90,000 - 107,000
4 days ago
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Lecturer or Associate Professor in Mechanical Engineering

University of Southampton

Eastleigh
On-site
GBP 40,000 - 60,000
4 days ago
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Director, Dynamics 365, Indirect Tax, London

EY

City Of London
On-site
GBP 150,000 - 200,000
4 days ago
Be an early applicant

Senior Engagement Manager

Experis - ManpowerGroup

Telford
Hybrid
GBP 80,000 - 100,000
4 days ago
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Senior Investigator, Global Intelligence

Omaze

United Kingdom
Hybrid
GBP 101,000 - 114,000
4 days ago
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Senior Fabric Architect

Capgemini

Bristol
On-site
GBP 60,000 - 80,000
4 days ago
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Product Manager - (Cybersecurity) (Remote)

Remotestar

Cambourne
Hybrid
GBP 60,000 - 80,000
4 days ago
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Senior Actuary

AEGIS

City Of London
Hybrid
GBP 70,000 - 90,000
4 days ago
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Senior GI Pricing Analyst - Remote

Actuarial Futures

United Kingdom
Remote
GBP 40,000 - 60,000
5 days ago
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Content Editor - Flexible

Outlier

City Of London
Hybrid
GBP 60,000 - 80,000
5 days ago
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Writing Editor - Flexible

Outlier

Leeds
Hybrid
GBP 60,000 - 80,000
5 days ago
Be an early applicant

Writing Trainer

Outlier

Sheffield
Remote
GBP 60,000 - 80,000
5 days ago
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Engineering Lead in City of London

Energy Jobline ZR

City Of London
Hybrid
GBP 110,000 - 140,000
5 days ago
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Freelance Writer - Work From Home

Outlier

Sheffield
Remote
GBP 60,000 - 80,000
5 days ago
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Senior Machine Learning Engineer in Greater London
Energy Jobline ZR
Greater London
Hybrid
GBP 65,000 - 90,000
Full time
4 days ago
Be an early applicant

Job summary

A leading consultancy in AI based in London is seeking a Senior LLM Engineer to design and deploy LLM systems in real-world environments. You will work closely with internal teams and clients, requiring strong Python and model deployment experience. With a focus on cost-efficiency, this role is perfect for someone with 3+ years in ML/AI and the ability to work in a hybrid setup.

Benefits

Modern kit (MacBook etc.)
27 days annual leave + bank holidays
4-week paid sabbatical after 4 years tenure
Regular team meet-ups and workshops
Sensible working hours
Clear progression opportunities

Qualifications

  • 3+ years experience in ML/AI roles, ideally from a data science or applied ML background.
  • Able to measure output quality and reduce hallucination risks.
  • Familiar with optimizing inference performance.

Responsibilities

  • Own the design and build of LLM-based systems end-to-end.
  • Fine-tune and adapt models rather than just prompt-engineering.
  • Deploy models into production environments where constraints exist.

Skills

Hands-on LLM experience beyond prototyping/notebooks
Strong Python skills
Experience with PyTorch/Hugging Face
Experience deploying models into production
Familiarity with vector stores and RAG patterns
Comfortable operating in a hybrid environment
MLFlow/MLOps experience
Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

Senior LLM Engineer London | Hybrid (2 days per week on-site, Bank area)

My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and explainability actually matter, so think regulated, risk-aware, or operationally critical environments rather than hype-driven MVPs.

The current AI/ML group is around eight senior engineers, with backing to grow sensibly (not a hiring spree). This role sits within that team and is focused on designing and deploying LLM systems that make it into production, are cost-efficient, and work reliably in the real world.

What youll be doing:
  • Owning the design and build of LLM-based systems end-to-end
  • Fine-tuning and adapting models (LoRA, instruction tuning, PEFT etc) rather than just prompt-engineering
  • Building RAG workflows, embedding strategies, memory layers and domain grounding
  • Working out how to measure output quality, reduce hallucination risk and improve robustness
  • Optimising inference performance (quantisation, distillation, pruning, batching, caching)
  • Deploying models into production environments where latency, cost and privacy are real constraints
  • Working closely with both internal engineers and client teams to ensure what gets built actually lands well
What theyre looking for:
  • Hands-on LLM experience beyond prototyping / notebooks
  • Strong Python and experience with PyTorch / Hugging Face / similar tooling
  • Experience deploying models into production (not just training them)
  • Familiarity with vector stores and RAG patterns
  • Comfortable operating in a hybrid environment and speaking with stakeholders where required
  • Someone who enjoys solving real problems end-to-end: from understanding the domain designing the approach shipping the implementation
  • Experience of MLFlow / MLOps highly desirable
Important notes (just to be upfront):
  • They cannot sponsor visas, so youll need existing right to work in the UK
  • No relocation support youll need to already be UK-based and able to be in London (Bank area) twice a week
  • This is a senior role typically someone with 3+ years experience in ML/AI roles, ideally from a data science or applied ML background
Benefits / set-up:
  • Modern kit (MacBook etc.)
  • 27 days annual leave + bank holidays
  • 4-week paid sabbatical after 4 years tenure
  • Regular team meet-ups, workshops, and knowledge-sharing sessions
  • Sensible working hours grown-up environment, not crunch culture
  • Clear progression as the AI group continues to scale
  • Stable team, low-ego culture, and work that isnt just slideware or demos

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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