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Entry Level Data Analyst jobs in United States

Senior Software Engineer - Machine Learning

Arm

Cambridge
Hybrid
GBP 60,000 - 80,000
2 days ago
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Senior Manager Data Enablement & Data Risk

British Business Bank

Sheffield
Hybrid
GBP 52,000 - 65,000
2 days ago
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Data Engineer

Environment Bank

England
Hybrid
GBP 50,000 - 70,000
2 days ago
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Data Engineer

Appello Careline Limited.

United Kingdom
Hybrid
GBP 60,000 - 80,000
2 days ago
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Project Data Manager - Medical Writing

Syneos Health, Inc.

Greater London
On-site
GBP 60,000 - 80,000
2 days ago
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GenAI Engineer & Data Scientist (SC Cleared) – London

Onyx-Conseil

City Of London
On-site
GBP 80,000 - 100,000
2 days ago
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Strategic Category Manager: Data-Driven Procurement

VanRath

Belfast
On-site
GBP 60,000 - 80,000
2 days ago
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Senior Environmental Data Scientist & Hydrologist (Hybrid)

Penguin Recruitment

Oxford
Hybrid
GBP 35,000 - 42,000
2 days ago
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Graduate Transport Modeller: Data-Driven Urban Futures

Sweco UK

Birmingham
On-site
GBP 60,000 - 80,000
2 days ago
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Senior Data Scientist – ML, LLMs & RAG (Hybrid)

Emporia Consulting Group

Greater London
Hybrid
GBP 125,000 - 150,000
2 days ago
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Data Scientist

Emporia Consulting Group

Greater London
Hybrid
GBP 125,000 - 150,000
2 days ago
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Data Engineer

NewDay

Greater London
Hybrid
GBP 55,000 - 70,000
2 days ago
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Senior Agile Delivery Manager — Data Products (Hybrid)

DWP Digital

Birmingham
Hybrid
GBP 57,000 - 76,000
2 days ago
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AI Consultant

Profile 29 Careers

Greater London
Hybrid
GBP 70,000 - 75,000
2 days ago
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Fire Alarm Engineer

Axis Clc

Sheffield
On-site
GBP 60,000 - 80,000
2 days ago
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Environmental Compliance Account Manager Data-Driven Hybrid

Valpak Limited

Greater London
Hybrid
GBP 35,000 - 45,000
2 days ago
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Fire Alarm Engineer

TXM Recruit

Greater London
On-site
GBP 34,000 - 40,000
2 days ago
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Data Engineer

Person Centred Software

Guildford
On-site
GBP 45,000
2 days ago
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Databricks Data Engineer

Tenth Revolution Group

Leeds
Hybrid
GBP 59,000 - 70,000
2 days ago
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Databricks Data Engineer (Hybrid) - Build Scalable Pipelines

Tenth Revolution Group

Leeds
Hybrid
GBP 59,000 - 70,000
2 days ago
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Data Engineer

Experis

United Kingdom
Remote
GBP 60,000 - 80,000
2 days ago
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Senior Machine Learning Engineer

PlayStation Global

Greater London
Hybrid
GBP 75,000 - 95,000
2 days ago
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Senior Data Scientist - Build Scalable ML Solutions (Hybrid)

Emporia Consulting Group Limited

Greater London
Hybrid
GBP 125,000 - 150,000
2 days ago
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Data Scientist

Emporia Consulting Group Limited

Greater London
Hybrid
GBP 125,000 - 150,000
2 days ago
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Fire Alarm Service Engineer

Hall&Kay Fire Engineering

Greater London
On-site
GBP 80,000 - 100,000
2 days ago
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Senior Software Engineer - Machine Learning
Arm
Cambridge
Hybrid
GBP 60,000 - 80,000
Full time
2 days ago
Be an early applicant

Job summary

A leading technology firm in Cambridge is seeking a highly motivated Senior Software Engineer to join their Machine Learning Group. In this role, you will focus on developing innovative compiler solutions to enhance ML technologies. Ideal candidates should have strong experience in C++, a passion for software quality, and a proven software development lifecycle background. This position is hybrid and offers a supportive team culture, emphasizing personal well-being and career growth.

Benefits

Strong team culture
Learning opportunities
Diversity and inclusion emphasis

Qualifications

  • Experience with the full software development lifecycle.
  • Understanding of Python is a plus.
  • Ability to lead others on large tasks.

Responsibilities

  • Deliver production-grade software for ML compilation.
  • Collaborate on innovative ML compilation software projects.
  • Work with other groups to expand support for Arm architecture.

Skills

C++
Software development lifecycle
Problem solving
Interpersonal skills

Tools

LLVM
MLIR
Python
Job description
Job Description

Arm's Machine Learning (ML) Group is seeking a highly motivated and creative Senior Software Engineer to join a team of brilliant engineers located in Cambridge, UK who specialise in ML compilers.

This role presents an opportunity to contribute to advance ML compilation technology. You will help to build the software that enables development of deep learning applications that form the basis of many ground‑breaking technologies like self‑driving cars, generative AI engines and ML‑powered wearables.

Arm Machine Learning (ML) team is looking for a software engineer who would build a range of innovative compiler solutions for a variety of markets.

You will apply your experience and insight within this domain to craft and optimise compilers for machine learning networks that target Arm’s CPUs, GPUs and NPUs.

If you are interested in this opportunity, make sure to apply soon! We look forward to receiving your application and welcoming you to Arm. You could be joining our highly motivated team and have a marked impact on both strategy and implementation!

Responsibilities
  • Contribute to deliver production‑grade software and push the boundaries of Machine Learning compilation
  • Build, extend and collaborate on innovative ML compilation software projects, such as TOSA and the broader MLIR ecosystem
  • Work with other groups in Arm to expand support for Arm architecture and ecosystem
Required skills and experience
  • A passion for software development and quality. Experience with the full software development lifecycle – planning, designing, developing, testing, delivering, and maintaining production‑quality software
  • Experience with C++, understanding of Python is a plus
  • Experience with or interest in compilers such as LLVM and the MLIR ecosystem
  • High degree of initiative and problem solving skills
  • Ability to own team’s delivery and lead others on large or more sophisticated tasks
  • Good interpersonal and communication skills.
Nice to have skills and experience
  • Knowledge or curiosity about large language models (LLMs), machine learning, their applications and frameworks
  • Experience with contributing to open‑source projects and working with a broader open‑source community
  • Experience with Python packaging, Linux and scripting languages, such as shell‑scripting
In Return

On top of the already compelling Life at Arm, we offer strong team culture, learning opportunities, regular career conversations, emphasis on diversity, equity and inclusion and a continuous improvement mentality.

#LI-CM1

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognising the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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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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