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2,247

Research Analyst jobs in United States

Machine Learning Research Consultant - Experienced

Awerian Ltd

Cambridge
On-site
GBP 50,000 - 75,000
Today
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Educational Psychologist

Baltimore Consulting Limited

Redcar
On-site
GBP 60,000 - 80,000
Today
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Threat Researcher

CFC Underwriting

Greater London
On-site
GBP 60,000 - 80,000
Today
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Research Associate in Genetic Engineering of Microbiomes

The University of Manchester

Manchester
Hybrid
GBP 37,000 - 47,000
Today
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Assistant Healthcare Scientist | East Kent Hospitals University NHS Foundation Trust

East Kent Hospitals NHS Trust

Ashford
On-site
GBP 23,000 - 27,000
Today
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Group Director, Scientific Services

Prime

Knutsford
Hybrid
GBP 125,000 - 150,000
Today
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Scientist - Cell Processing

Awerian Ltd

Melbourn
On-site
GBP 30,000 - 40,000
Today
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Environmental Data Scientist/Hydrologist

Penguin Recruitment

Reading
Hybrid
GBP 35,000 - 42,000
Today
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Graduate Coastal Scientist (Exeter, Bristol)

Institute of Marine Engineering, Science & Technology (IMarEST)

Exeter
Hybrid
GBP 25,000 - 32,000
Today
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Higher Scientist, Molecular assays and immunochemistry - 37,456 p.a. + benefits

Medicines and Healthcare products Regulatory Agency

Potters Bar
On-site
GBP 30,000 - 40,000
Today
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Assistant Healthcare Scientist in Blood Sciences

www.healthjobsuk.com - jobboard

Margate
On-site
GBP 25,000
Today
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Biochemistry Specialist Biomedical Scientist

Aneurin Bevan University Health Board

Cwmbran
On-site
GBP 39,000 - 48,000
Yesterday
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Lead Generation Researcher

Groomfield Recruitment Ltd

Cannock
On-site
GBP 100,000 - 125,000
Yesterday
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Band 8a Senior Radiopharmaceutical Scientist

Royal Free London NHS Foundation Trust

Greater London
On-site
GBP 64,000 - 72,000
Yesterday
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Associate Healthcare Scientist: Point of Care Testing

East Kent Hospitals NHS Trust

Margate
On-site
GBP 60,000 - 80,000
Yesterday
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Automation Cell Scientist

Ecm Selection

Cambridge
On-site
GBP 80,000 - 100,000
Yesterday
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Biochemistry Specialist Biomedical Scientist

Career Choices Dewis Gyrfa Ltd

Cwmbran
On-site
GBP 39,000 - 48,000
Yesterday
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Regional HR Manager

Compass Group

Stevenage
Hybrid
GBP 38,000 - 45,000
Yesterday
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Research Technician

University of South Hampton

Southampton
On-site
GBP 25,000 - 35,000
Yesterday
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Post-doctoral Research Associate

King's College London

Greater London
On-site
GBP 46,000
Yesterday
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Postdoctoral Scientist - Neurobiology - Dr Michel Goedert - LMB 2752

UK Research and Innovation

Hartford
On-site
GBP 30,000 - 40,000
Yesterday
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Research Associate (Experimental Methods)

University of Bath

Bath
On-site
GBP 38,000 - 47,000
Yesterday
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Senior Educational Psychologist

Baltimore Consulting

United Kingdom
Hybrid
GBP 60,000 - 80,000
Yesterday
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Senior Experimentation Scientist

Preply

Greater London
On-site
GBP 50,000 - 70,000
Yesterday
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Researcher (Customer Insight & Smart Technology)

The Extracare Charitable Trust t / a Extracare Ltd

Willenhall
On-site
GBP 32,000
Yesterday
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Machine Learning Research Consultant - Experienced
Awerian Ltd
Cambridge
On-site
GBP 50,000 - 75,000
Full time
Today
Be an early applicant

Job summary

A defense technology consultancy in the UK is seeking a Machine Learning Research Consultant to work at the forefront of innovation for national security. This role involves exploring and developing cutting-edge technologies using AI and machine learning, while collaborating within multi-disciplinary teams. Candidates should have a strong foundation in Python and experience with frameworks like Tensorflow and PyTorch. The company offers a dynamic environment with excellent benefits and professional growth opportunities.

Benefits

Employer pension contribution of 10%
Private medical insurance
Enhanced family friendly leave
Access to gym
Discounts for local sports facilities

Qualifications

  • Undergraduate degree (2:1 or above) in relevant subject.
  • Graduate degrees with demonstrable research experience are highly desirable.
  • Independent mindset and broad interest in machine learning developments.

Responsibilities

  • Explore and develop cutting-edge technologies in AI/ML.
  • Design and deploy machine learning systems across various tasks.
  • Collaborate within multi-disciplinary teams.

Skills

Very strong foundation in Python
Hands-on experience with Tensorflow
Hands-on experience with PyTorch
Experience building ML solutions
Familiarity with GPU hardware

Education

Undergraduate degree in relevant subject
Job description
Machine Learning Research Consultant – Experienced
  • Full-time
  • Role Type: Experienced
  • Contract Type: Permanent
  • Technical Discipline: AI / Machine Learning
  • Department: Awerian

Breakthrough technology is vital for strengthening the UK’s Defence and Homeland Security. As a Machine Learning Consultant at Awerian, you will be at the forefront of this innovation race to defend and protect the UK from the latest technological and cyber threats.

Your work will have a real-world impact. You will explore and develop cutting‑edge technologies by working within multi‑disciplinary teams of highly educated and skilled scientists and engineers.

As a Machine Learning Research Consultant you will use your curiosity, creativity, and rigour to tackle diverse, real‑world challenges which are typically at the forefront of emerging AI/ML technologies. You will use your experience to design and deploy systems that apply machine learning to a broad range of tasks, often in novel settings, pulling together third‑party components and building elements yourself. You will research the fundamentals of models, their architectures and each stage of the machine learning pipeline. It’s a fantastically challenging, varied, and agile role.

Awerian’s wide variety of intriguing projects often bring together aspects of science, engineering and machine learning. Projects span proof‑of‑concepts through to working prototypes, providing both intellectual and practical challenges. The projects will test your ability to solve problems across the machine learning development cycle: ideation; data I/O, cleaning and preparation; rapid code prototyping and feasibility testing; designing, refining, and evaluating models; and deploying and packaging code into client‑ready demonstrators and products. The sense of job satisfaction will be tangible as you collaborate across disciplines and stretch your knowledge and capabilities into new areas of pioneering research and development.

Requirements

You will hold an undergraduate degree (2:1 or above) in a relevant subject including Physics, Maths, Engineering, Computer Science, etc. Graduate degrees with demonstrable research experience or equivalent research and development experience are highly desirable. You will bring a rigorous scientific approach, independent mindset, and broad interest in developments across the machine learning field.

Key technical skills of interest include:
  • Very strong foundation in Python.
  • Hands‑on experience with current frameworks such as Tensorflow, PyTorch and JAX.
  • Experience of building machine learning solutions for novel problems and/or resource‑constrained situations and/or current edge‑processing platforms.
  • Experience of a broad range of machine learning techniques (e.g. computer vision, audio reconstruction, generative models) and/or the ability to adapt to new domains rapidly.
  • Familiarity with GPU hardware and their associated languages (e.g. CUDA).

Ideally you will have notable experience in two or more of the above areas. Experience of, or skills required for, client‑facing (or similar) roles are highly desirable. We are keen to hear from exceptional applicants with experience in any sector.

Why Awerian?

Awerian is a defence and security technology consultancy comprising 35+ scientists and engineers. You will work at our smart and well‑equipped offices and laboratories based just outside Cambridge. Immediately you will be encouraged to share and implement your ideas as a valued member of the team, and you will benefit from our strong culture of freedom and openness.

We have a flat structure with little hierarchy, and no corporate hoops to jump through. This encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop skills in project leadership and client management to keep your professional development on track, firmly supported by our team of experts.

We are continuing our rapid growth plan, making this an exciting time to join and help to shape our future. We’re a business of individuals – however, our curiosity brings us together and it drives what we do. Whether you’re leading a project or part of a team, the whole structure of Awerian is designed to help you connect, thrive, and feel included.

The Company and Benefits:

We are part of TTP Group, an employee‑owned trust, with attractive employee benefits including:

  • Employer pension contribution of 10% of salary +3% personal contribution
  • Private medical insurance for you and your family and Life insurance
  • Enhanced family friendly leave
  • Electric Vehicle leasing & Cycle to Work scheme
  • Access to TTP Group social and sport clubs and an on‑site gym
  • Discounts and memberships to local sports facilities and the theatre

You will need to be eligible for UK security clearance.

Please note this role is not eligible for UKVI sponsorship visa scheme

We review CVs on an ongoing basis and will arrange interviews promptly upon receiving suitable applications.

Our business revolves around collaborating with one another to tackle genuinely hard problems. Equality and diversity in the workplace are some of the most challenging problems facing society. We continuously strive to do better, and we fundamentally believe in the power and importance of diversity – both for our community and for the overall success of our business.

We therefore encourage applications from all individuals. Whatever your background, whatever your identity: we would love to hear from you.

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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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