Machine learning engineer Work, Jobs in Wigan, Gtm (with Salaries)

Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —Manchester
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Organic Growth Specialist (SEO / AEO / GEO)
Data8 Ltd —Chester
- £30,000 - £40,000 a year
- Full-time
- In-person
- AI
- Communication skills
- Free parking
- Employee discount
Quick apply
Trainee Clinical Perfusion Scientist
Manchester University NHS Foundation Trust —Manchester
- £49,387 - £56,515 a year
- Full-time
- University
- Bachelor's degree
- AI
7d
Director, AI / Machine Learning Data Engineer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Data Scientist
AXA —Bolton
- £35,000 - £45,000 a year
- Azure
- Computer Science
- SQL
Research Associate or Research Fellow In Machine Learning (2 Posts Available)
The University of Manchester —Manchester
- £37,694 - £58,225 a year
- Full-time
- Hybrid work
- Doctoral degree
- Presentation skills
- Machine learning
- Annual leave
6d
Data Scientist
AXA UK —Bolton
- £35,000 - £45,000 a year
- Azure
- Computer Science
- SQL
- Annual leave
12d
Mid Level Full Stack Developer
UK Biobank —Manchester
- £50,000 - £60,000 a year
- Monday to Friday
- Hybrid work
- SQL
- AWS
- Software development
- Free parking
- Annual leave
AI Steering Group Coordinator
LTE —Manchester
- £38,853.65 - £50,976.22 a year
- Full-time
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Annual leave
- Employee assistance programme
AI Trainer - Freelance Data Annotator
Toloka Annotators —Manchester
- Up to £22 an hour
- Part-time
- Remote
- English
- Bachelor's degree
- AI
Quick apply
Freelance Annotator (English) - AI Trainer
Toloka Annotators —Manchester
- Up to £22 an hour
- Part-time
- Remote
- English
- Bachelor's degree
- AI
Quick apply
14d
Technical Service Engineer
Cotopaxi Ltd —Wigan
- £28,000 - £40,000 a year
- Full-time
- Hybrid work
- Azure
- Analysis skills
- JavaScript
- Free parking
- Health & wellbeing programme
Quick apply
Senior Applied Machine Learning Engineer - Catalogue Intelligence
OnBuy —Manchester
- £65,000 - £75,000 a year
- Full-time
- Remote
- SQL
- Machine learning
- Python
- Annual leave
- Employee assistance programme
Quick apply
Vice President, AI / Machine Learning Software Engineer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Analysis skills
- Maths
Principal Genetic Counsellor
Manchester University NHS Foundation Trust —Manchester
- £57,528 - £64,750 a year
- Full-time
- Doctoral degree
- University
- AI
5d
QA Engineer
Clio —Manchester
- £50,200 - £67,800 a year
- Full-time
- Hybrid work
- Azure
- Engineering
- Bachelor's degree
- Life insurance
QA LEAD
Alfred H Knight Group —Liverpool
- Full-time
- Hybrid work
- Continuous improvement
- Agile
- AI
- Employee assistance programme
Quick apply
Junior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- SQL
- AWS
Research Associates in Cancer Biology
The University of Manchester —Manchester
- £37,694 - £46,049 a year
- Machine learning
5d
Junior Front End Developer
Pearl Scan Solutions Ltd —Manchester
- £24,420.00 - £43,935.58 a year
- Temporary
- AWS
- JavaScript
- APIs
- Free parking
Quick apply

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machine learning engineer jobs near wigan, gtm

Machine Learning Engineer Intern (100% Remote)

Tether Operations Limited
Manchester

Apply Now

Job details

Full-time

Qualifications

Doctoral degree
Computer Science
PyTorch
English
Analysis skills
Project management
Bachelor's degree
Machine learning
Deep learning
Organisational skills
AI
Communication skills
Python

Full job description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that’s not only revolutionary but also accessible, transparent, and privacy-focused.

We are looking for a motivated and skilled machine learning intern to join our dynamic Brain & AI team for 3 to 6 months. This role focuses on developing AI models that enhance our understanding of neural mechanisms building encoding and decoding models and apply this knowledge to real-world applications such as brain computer interfaces. You will be instrumental in pushing the boundaries of what’s possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today.

Responsibilities

Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives.
Collaborate closely with data scientists to pioneer research in generative modeling and representation learning.
Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability.
Maintain high standards of code quality, organization, and automatization across all projects.
Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.
Write and revise papers, communicate and disseminate results.

Degree and currently involved in a PhD program in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
1+ years of experience of working in industry or research.
Programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch.
Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling.
Scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims.
Managing unstructured datasets with strong analytical skills.
Project management and organizational skills.
Proven ability to support and collaborate with cross-functional teams in a dynamic environment.

Preferred Qualifications:

Research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
Scientific publications in AI and neuroscience conferences or peer reviewed journals
Familiarity with deep learning libraries such as Pytorch, Huggingface, Transformers, Accelerator and Diffuser.
Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs.
Experience with data and model visualization tools.
Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, ecc).

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Apply Now

Refine Your Search

machine learning engineer jobs in wigan, gtm

Machine Learning Engineer Intern (100% Remote)

Organic Growth Specialist (SEO / AEO / GEO)

Trainee Clinical Perfusion Scientist

Director, AI / Machine Learning Data Engineer

Data Scientist

Research Associate or Research Fellow In Machine Learning (2 Posts Available)

Data Scientist

Mid Level Full Stack Developer

AI Steering Group Coordinator

AI Trainer - Freelance Data Annotator

Freelance Annotator (English) - AI Trainer

Technical Service Engineer

Senior Applied Machine Learning Engineer - Catalogue Intelligence

Vice President, AI / Machine Learning Software Engineer

Principal Genetic Counsellor

QA Engineer

QA LEAD

Junior Data Scientist - AI Practice Team

Research Associates in Cancer Biology

Junior Front End Developer

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