Linguist (Must Speak: Indonesian And/or Malay)

TEKsystems
London, United Kingdom
3 weeks ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Agent Designer

PolyAI Test Valley, SO51 6HA, United Kingdom
Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Entry
Education
Degree
Posted
28 Apr 2026 (3 weeks ago)

Linguist

Job Description

This remote Linguist role focuses on applying advanced linguistic expertise to large-scale AI and natural language processing projects. You will analyse multilingual datasets, evaluate AI model outputs, and contribute to responsible AI initiatives, with a particular emphasis on Austronesian languages. The position suits a graduate-level linguist with 0–3 years of experience who is eager to collaborate with engineers and researchers, contribute to publications, and shape best practices for multilingual AI systems.

Responsibilities

Perform detailed linguistic analyses on large datasets, with a focus on Austronesian and other language families.

Conduct linguistic error analysis of AI model outputs, identifying the most frequent and severe error categories and proposing improvements.

Write, refine, and maintain clear guidelines for human annotation and other AI projects, including translation and related tasks.

Carry out typological and sociolinguistic research on a wide range of languages, highlighting their similarities and differences.

Perform linguistic analyses to support Responsible AI initiatives, including the detection and characterisation of toxic language, hate speech, gender bias, and other cultural biases in massively multilingual settings.

Conduct comprehensive literature reviews on topics related to natural language processing and linguistics, and summarise findings in a clear and accessible way.

Compare the quality of linguistic deliveries from different vendors, identify error patterns, and provide actionable feedback for improvement.

Offer expert guidance on all aspects of linguistic knowledge, including typology, morpho-syntax, sociolinguistics, classification, phonetics and phonology, pragmatics, writing systems, and corpus linguistics.

Engage with and collaborate effectively with native speakers of various languages to support data collection, annotation, and validation.

Communicate the results of linguistic analyses clearly to machine learning engineers, NLP specialists, software engineers, and research scientists.

Work cross-functionally with technical and research teams, contributing linguistic insight to AI and NLP projects.

Contribute to research papers and documentation related to AI, NLP, and linguistics, while avoiding conflicts of interest in machine translation, ASR, TTS, or LLM research.

Independently manage complex requests, prioritise tasks, plan and track your work, and report progress in a structured manner.

Apply basic Natural Language Processing techniques to real-world datasets and research questions.Essential Skills

Graduate degree in Linguistics or a closely related field (required).

0–3 years of relevant professional or research experience in linguistics or NLP-related work.

Native speaker of a non-English language, preferably Indonesian, with a high level of proficiency in another Austronesian language.

Broad knowledge of other languages within the Austronesian language family.

Very strong grasp of key linguistic fields, including language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, and phonology.

Some hands-on experience applying basic Natural Language Processing techniques.

Ability to code in Python for data analysis and linguistic tasks.

Ability to query databases using SQL.

Strong written and spoken communication skills, particularly for business and research communication.

Proven ability to work independently, including prioritising, planning, tracking work, and reporting progress.

Ability to work under pressure and handle complex, ambiguous requests.

experience working cross-functionally with teams such as machine learning, NLP, software engineering, or data science.

experience collaborating with technical teams and contributing to research papers.

Self-motivation and a proactive approach to problem solving.

No known conflicts of interest in the fields of machine translation, automatic speech recognition (ASR), text-to-speech (TTS), or large language model (LLM) research, to enable contribution to research papers.

Location

London, UK

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)>

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)>

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.