Artificial Intelligence Jobs

427 jobs for “Python”

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ITOL Recruit

Junior AI Developer

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  • Hounslow
  • Remote
  • £30,000 – £45,000 pa
  • Junior

A 15-step online, self-paced AI traineeship covering Python, neural networks, LLMs, prompt engineering, RAG, machine learning with scikit-learn, and data ethics, ending with an oral exam and AWS Cloud Practitioner certification. It includes real-world projects such as a Streamlit car price app and a Hugging Face sentiment classifier, plus 1-to-1 tutor and recruitment support with a job guarantee.

Jupyter Notebooks · VS Code · Streamlit +6

Last week

ITOL Recruit

Junior AI Developer

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  • Wolverhampton
  • Remote
  • £30,000 – £45,000 pa
  • Junior

A 15-step online, self-paced AI traineeship covering Python, data fundamentals, machine learning, prompt engineering, RAG and vector databases, with projects such as a Streamlit car price predictor and a customer service chatbot. Includes Microsoft AI-900 and AWS Cloud Practitioner certification, 1-to-1 tutor and recruitment support, and a job guarantee. Note this is a paid training course, not a salaried role.

Jupyter Notebooks · VS Code · Streamlit +4

3 weeks ago

IT Career Switch

Trainee Ai Engineer

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  • London
  • £25,000 – £45,000 pa
  • Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are matched to a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.

Azure · Microsoft AI-900 · Git +1

9 months ago

IT Career Switch

Trainee Ai Engineer

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  • London
  • £25,000 – £45,000 pa
  • Entry level

A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, culminating in the Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Microsoft Azure · Git · GitHub

9 months ago
Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

Research Leader (Toxicology), Cambridge, MA

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  • Cambridge, United States
  • Hybrid · 3 days in office
  • Lead

Lead the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Partner with machine learning researchers to build predictive toxicology models and manage CRO relationships for outsourced wet-lab data generation, while mentoring junior scientists.

KNIME · Python

2 months ago
Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

Research Lead / Senior Scientist (DMPK), London

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  • London
  • Hybrid · 3 days in office
  • Lead

Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with AI/ML drug design platform teams in a hybrid London setting.

R · Python · KNIME

Last week

PhysicsX

Machine Learning Engineer

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  • New York, United States
  • Hybrid
  • US$150,000 – US$190,000 pa
  • Mid-level

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

TensorFlow · MLflow · Spark +6

2 months ago
CrowdStrike logo

CrowdStrike · 1001–5000 people · Public

Intelligence Intern - Summer 2027

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  • Germany
  • Remote
  • Entry level
  • Internship

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and developing automation tools for threat tracking. Involves creating host- and network-based signatures for large-scale hunting and producing finished threat intelligence reporting for customers.

CrowdStrike · Disassemblers · Decompilers +1

Clearance required Last week
Entrust logo

Entrust · 501–1000 people · Late stage

Senior ML Engineer, Doc Extraction

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  • Lisbon, Portugal
  • Hybrid · 3 days in office
  • Senior
  • Permanent

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

TensorFlow · PyTorch · Triton +2

3 weeks ago

PhysicsX

AI Engineer: Post-Training

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  • London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses covering data prep, evaluation and serving, applying SFT, preference optimisation, RLHF/RLAIF, distillation and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

4 days ago
Anthropic logo

Anthropic · 51–200 people · Series B

Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

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  • London
  • Remote
  • Temporary

Four-month, full-time research fellowship in the Economics & Policy workstream, mentored by Anthropic researchers. Fellows design empirical studies on AI's economic effects, labour markets, and cyber/bio offense-defense balance, using external infrastructure like open-source models and public APIs, with the goal of producing a public output such as a paper submission.

Open-Source Models · Public APIs

Last month
CrowdStrike logo

CrowdStrike · 1001–5000 people · Public

Sr. Data Scientist Lead

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  • United Kingdom
  • Remote
  • Lead · manages people

Lead a team of three data scientists at the intersection of machine learning, big data and cybersecurity, setting technical standards and driving strategy for threat detection and agentic AI systems. Work spans research through production deployment, using CrowdStrike's large-scale behavioural and malware data, while mentoring the team and partnering with security research, engineering and product.

AWS · Linux

2 weeks ago

OpenAI

Applied AI Engineer, Digital Natives

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  • London
  • Hybrid · 3 days in office
  • Mid-level
  • Permanent

Partner directly with Digital Native customers to design, build and deploy AI-powered products, taking ideas from early experimentation through evaluation, production launch and scale. Hands-on coding in Python to build prototypes, evaluation harnesses, integrations and production accelerators, while making decisions across models, agents, retrieval, reliability, latency, cost, safety and governance.

OpenAI

Clearance required Last week

OpenAI

Applied AI Architect, OpenAI for Government

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  • London
  • Hybrid · 3 days in office
  • Senior
  • Permanent

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, identity, security and governance while coordinating deployment, enablement and partner specialists.

ChatGPT Enterprise · OpenAI API · Codex +3

Clearance required 2 weeks ago

Wayve · 11–50 people · Series A

Machine Learning Engineer, Synthetic Data

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  • London
  • Hybrid
  • Senior
  • Permanent

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

PyTorch · GAIA · CUDA +1

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