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Jobs in Oldham, United Kingdom

Machine Learning Solutions Engineer

Understanding Recruitment

Greater London
Remote
GBP 150,000 - 200,000
Yesterday
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Field Service Engineer (Manufacturing)

Rise Technical Recruitment

Tyseley
Remote
GBP 40,000 - 45,000
Yesterday
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Senior Sales Engineer/ Pre-Sales (f/m/d) - Remote UK or US

Story Terrace Inc.

City Of London
Remote
GBP 50,000 - 70,000
Yesterday
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Azure Architect (Contract)

Curo Resourcing Ltd.

United Kingdom
Remote
GBP 100,000 - 125,000
Yesterday
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Business Development Manager

K3 Capital Group Plc

Belfast
Remote
GBP 40,000 - 60,000
Yesterday
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Senior Python Developer

Luxoft

United Kingdom
Remote
GBP 60,000 - 80,000
Yesterday
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Program Facilitator in AI Strategies for Business Transformation for Kellogg Executive Educatio[...]

Emeritus

Newcastle upon Tyne
Remote
GBP 40,000 - 60,000
Yesterday
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Locum Consultant Old Age Psychiatrist - East Scotland

Medacs Healthcare

Livingston
Remote
GBP 150,000 - 200,000
Yesterday
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Conveyancing Learning Coach

National Skills Agency

Ringway
Remote
GBP 37,000
Yesterday
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Lead Speech and Language Therapist

NHS

United Kingdom
Remote
GBP 30,000 - 40,000
Yesterday
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Training Course Developer

Pulse IT Recruitment Ltd

City Of London
Remote
GBP 26,000 - 35,000
Yesterday
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Recruitment Support Assistant - Education Sector

Remote Recruitment

United Kingdom
Remote
GBP 25,000 - 35,000
Yesterday
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Software Engineer

Understanding Recruitment

United Kingdom
Remote
GBP 127,000 - 150,000
Yesterday
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Insurance Marketing & Sales Advisor

Business Development

Birmingham
Remote
GBP 53,000 - 152,000
Yesterday
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Roadside Patrol

Direct Line Group Careers

Winchester
Remote
GBP 37,000 - 44,000
Yesterday
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BMS Sales Manager

Clear Engineering Recruitment

Slough
Remote
GBP 65,000 - 85,000
Yesterday
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Virtual Sales Advisor

Business Development

Margate
Remote
GBP 53,000 - 152,000
Yesterday
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Remote Client Solutions Manager

Business Development

England
Remote
GBP 53,000 - 152,000
Yesterday
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Senior Dynamics 365 Architect

The Recruitment Company

United Kingdom
Remote
GBP 80,000 - 100,000
Yesterday
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Commercial Lead - Estates

Butler Ross

United Kingdom
Remote
GBP 45,000 - 54,000
Yesterday
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Insurance Marketing & Sales Advisor

Business Development

Bedford
Remote
GBP 53,000 - 152,000
Yesterday
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Strategic Sourcing Specialist

MTrec Ltd Technical

United Kingdom
Remote
GBP 80,000 - 100,000
Yesterday
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Insurance Marketing & Sales Advisor

Business Development

Flint
Remote
GBP 53,000 - 152,000
Yesterday
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Virtual Agency Builde

Business Development

Evesham
Remote
GBP 53,000 - 152,000
Yesterday
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Interpreter Translator Required In Kirkwall Orkney KW

Language Empire

Kirkwall
Remote
GBP 60,000 - 80,000
Yesterday
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Machine Learning Solutions Engineer
Understanding Recruitment
Greater London
Remote
GBP 150,000 - 200,000
Full time
2 days ago
Be an early applicant

Job summary

A tech-driven company is looking for a Remote Machine Learning Solutions Engineer to design and deploy AI systems that automate customer workflows. The ideal candidate will have strong Python and Machine Learning Engineering experience, understand deployment technologies like Kubernetes, and be adept at problem-solving. This role allows for significant ownership and direct collaboration with clients, making a real impact in a flexible, remote-first environment.

Benefits

Flexible hours
Competitive pay and equity
Annual budgets for professional growth
3 off-sites per year

Qualifications

  • Strong experience in Python and Machine Learning Engineering.
  • Curiosity for agentic AI and automation systems.
  • Understanding of deployment including Kubernetes, CI/CD, MLOps.
  • Problem-solver who enjoys working directly with customers.
  • Collaborative, proactive, excited by startup pace.

Responsibilities

  • Design and deliver Virtual Agents that automate customer processes.
  • Build scalable, production-ready AI solutions.
  • Collaborate directly with customers to drive adoption.
  • Contribute to Unitary’s ML platform and community.

Skills

Python
Machine Learning Engineering
agentic AI
automation systems
Kubernetes
CI/CD
MLOps
Job description
Machine Learning Solutions Engineer

🌍 Remote (±3h UK time) | 💰 Competitive salary + equity

📈 Backed by Creandum & Plural ($25M+ raised)

About Unitary

Unitary builds AI systems that combinehuman expertise and intelligent automationto handle complex real-world tasks — from trust & safety to marketplace operations.

We already analysemillions of images and videos daily, helping businesses scale safely and efficiently. Our mission: create an internet free from harm, where AI makessafe, fair, and transparentdecisions.

The Role

We’re hiring aMachine Learning Solutions Engineerto design, build, and deploy AI systems that automate customer workflows.

You’ll work end-to-end — understanding client challenges, creating “Virtual Agents” that combine ML and software, and scaling these capabilities across our platform. It’s a hands‑on, product‑facing role with real ownership and impact.

What You’ll Do
  • Design and deliverVirtual Agentsthat automate customer processes
  • Build scalable, production‑ready AI solutions across the stack (ML, MLOps, DevOps)
  • Collaborate directly with customers and internal teams to drive adoption
  • Contribute to Unitary’s ML platform and community, shaping our future technology
What We’re Looking For
  • StrongPythonandMachine Learning Engineeringexperience
  • Curiosity foragentic AIand automation systems
  • Understanding of deployment (e.g. Kubernetes, CI/CD, MLOps)
  • Problem-solver who enjoys working directly with customers
  • Collaborative, proactive, and excited by startup pace

(Bonus: prior startup or remote-team experience, LLM familiarity, or infrastructure knowledge such as Terraform or Argo CD.)

Why Unitary
  • Remote‑first team (~20 people across Europe & North America)
  • Flexible hours, competitive pay, equity, and generous leave
  • Annual budgets for professional growth and well‑being
  • 3 off‑sites per year in London or European destinations
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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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