Enable job alerts via email!

Sr. Machine Learning Engineer

Enable International

London

On-site

GBP 60,000 - 100,000

Full time

7 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer, where you'll be at the forefront of transforming supply chain management through innovative AI solutions. Collaborate with top-tier talent to design and deploy cutting-edge machine learning systems, including retrieval-augmented generation and AI agent workflows. This role offers the chance to work in a dynamic environment, shaping the future of rebate management while contributing to significant growth in the industry. If you're passionate about AI and looking for a place to make a real impact, this opportunity is perfect for you.

Benefits

Paid Time Off
Wellness Benefit
Private Health Insurance
Electric Vehicle Scheme
Lucrative Bonus Plan
Equity Program
Career Growth Opportunities
Training Workshops

Qualifications

  • 5+ years in machine learning engineering or applied AI.
  • Strong foundation in supervised/unsupervised learning.
  • Experience with fine-tuning large language models.

Responsibilities

  • Design and deploy RAG systems for production use.
  • Collaborate with teams to deliver high-impact AI solutions.
  • Optimize model pipelines for latency and scalability.

Skills

Machine Learning Engineering
Python
ML Libraries (PyTorch, TensorFlow)
Data Science Fundamentals
RAG Systems
Cloud Platforms (Azure)
Communication Skills

Education

Bachelor's or Master's in Computer Science
PhD in relevant field

Tools

Docker
Kubernetes
MLflow
FAISS
Pinecone

Job description

Join to apply for the Sr. Machine Learning Engineer role at Enable

1 week ago Be among the first 25 applicants

Join to apply for the Sr. Machine Learning Engineer role at Enable

Get AI-powered advice on this job and more exclusive features.

At Enable, we are transforming the supply chain with our cutting-edge rebate management software. We see rebates as a strategic advantage, strengthening partnerships, driving smarter decisions, and unlocking significant value across the entire supply chain – from manufacturers to consumers.

After securing $276M in Series A-D funding, we are positioned for continued, significant growth. Since the launch of our flagship product in 2016, we have been rapidly scaling our client base, product offerings, and built a team of top-tier talent committed to reshaping the industry.

Want a glimpse into life at Enable? Visit our Life at Enable page to learn how you can be part of our journey.

We’re hiring a Senior Machine Learning Engineer to join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you’ll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions—such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows —into production.

As a Senior Machine Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including LLMs and AI agents —into our products and operations at a leading SaaS company. You’ll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management. This is a highly collaborative and fast-moving environment where your contributions will directly shape both the future of our platform and your own growth.

Key Responsibilities

  • Design, build, and deploy RAG systems, including multi-agent and AI agent-based architectures for production use cases.
  • Contribute to model development processes including fine-tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation.
  • Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance.
  • Work across the ML stack—from data preparation and model training to serving and observability—either independently or in collaboration with other specialists.
  • Optimize model pipelines for latency, scalability, and cost-efficiency, and support real-time and batch inference needs.
  • Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration.
  • Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents, and evaluate their practical applicability.
  • Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems.


Required Qualifications

  • 5+ years of experience in machine learning engineering, applied AI, or related fields.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related technical discipline.
  • Strong foundation in machine learning and data science fundamentals—including supervised/unsupervised learning, evaluation metrics, data preprocessing, and feature engineering.
  • Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments.
  • Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow.
  • Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex).
  • Hands-on experience with fine-tuning and distillation of large language models.
  • Comfortable with cloud platforms (Azure preferred), CI/CD tools, and containerization (Docker, Kubernetes).
  • Experience with monitoring and maintaining ML systems in production, using tools like MLflow, Weights & Biases, or similar.
  • Strong communication skills and ability to work across disciplines with ML scientists, engineers, and stakeholders.


Preferred Qualifications

  • PhD in Computer Science, Machine Learning, Engineering, or a related technical discipline.
  • Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval.
  • Familiarity with prompt engineering and building evaluation pipelines for generative models.
  • Exposure to Snowflake or similar cloud data platforms.
  • Broader data science experience, including forecasting, recommendation systems, or optimization models.
  • Experience with streaming data pipelines, real-time inference, and distributed ML infrastructure.
  • Contributions to open-source ML projects or research in applied AI/LLMs.
  • Certifications in Azure, AWS, or GCP related to ML or data engineering.


Total Rewards

At Enable, we’re committed to helping all Enablees grow. During the interview process, we assess your level based on experience, expertise, and role scope, aligning it with our compensation bands. Starting pay is determined by factors like location, skills, experience, market conditions, and internal parity.

Benefits

Salary/TCC is just one component of Enable’s total rewards package. Enable is committed to investing in the holistic health and wellbeing of all Enablees and their families. Our benefits and perks include, but are not limited to:

Paid Time Off: Ample days off + 8 bank holidays

Wellness Benefit: Quarterly incentive dedicated to improving your health and well-being

Private Health Insurance: Health and life coverage for you and your family

Electric Vehicle Scheme: Drive green with our EV program

Lucrative Bonus Plan: Enjoy a rewarding bonus structure subject to company or individual performance

Equity Program: Benefit from our equity program with additional options tied to tenure and performance

Career Growth: Explore new opportunities with our internal mobility program

Additional Perks:

Training: Access a range of workshops and courses designed to boost your professional growth and take your career to new heights

According to LinkedIn's Gender Insights Report, women apply for 20% fewer jobs than men, despite similar job search behaviors. At Enable, we’re committed to closing this gap by encouraging women and underrepresented groups to apply, even if they don’t meet all qualifications.

Enable is an equal opportunity employer, fostering an inclusive, accessible workplace that values diversity. We provide fair, discrimination-free employment, ensuring a harassment-free environment with equitable treatment.

We welcome applications from all backgrounds. If you need reasonable adjustments during recruitment or in the role, please let us know.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Software Development

Referrals increase your chances of interviewing at Enable by 2x

Get notified about new Machine Learning Engineer jobs in London, England, United Kingdom.

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 8 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 10 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 5 months ago

London, England, United Kingdom 10 months ago

London, England, United Kingdom 10 months ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 month ago

Software Engineer, Frontend (Remote/Hybrid)

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 10 months ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 months ago

Lead Decision Scientist, Machine Learning Engineer, UK 2024

London, England, United Kingdom 8 months ago

Create a DataCamp Course - Machine Learning / Data Engineering (Part-Time, Freelance)

London, England, United Kingdom 5 months ago

London, England, United Kingdom 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Senior Machine Learning Engineer (Remote)

TN United Kingdom

London

Remote

GBP 60,000 - 100,000

11 days ago

Senior Data Scientist

Harnham

Greater London

Remote

GBP 60,000 - 75,000

6 days ago
Be an early applicant

Senior Machine Learning Engineer

LifeArc

Greater London

On-site

GBP 60,000 - 100,000

Today
Be an early applicant

Senior Data Engineer

Eastmen Human Resources B.V.

London

Remote

GBP 50,000 - 90,000

Today
Be an early applicant

Senior Data Scientist (Remote/Hybrid)

TN United Kingdom

London

Remote

GBP 60,000 - 100,000

6 days ago
Be an early applicant

Senior Machine Learning Engineer (Edge Deployment Specialist)

Motorola Solutions

London

Hybrid

GBP 60,000 - 100,000

Today
Be an early applicant

Senior Data Analyst - Remote

TN United Kingdom

Greater London

Remote

GBP 55,000 - 85,000

2 days ago
Be an early applicant

Senior Data Analyst

Arrows

Greater London

Remote

GBP 40,000 - 70,000

8 days ago

Senior Machine Learning Engineer

LifeArc

London

On-site

GBP 60,000 - 100,000

3 days ago
Be an early applicant