9.7%
of UK job ads mention AI
That’s up from 4.9% a year earlier. AI familiarity is moving into more everyday roles, not just specialist ones.
Indeed Hiring Lab · UK · Aug 2026
AI TALENT INSIGHTSKnow where your
Know where your
AI skills can take you
The AI job market changes quickly. Here’s a clearer look at the roles, skills and experience employers value — so you can decide what matters for your next move.
A little advice from SiaYou don’t need every new skill. Start with the ones that suit the work you want to do.
01 / MARKET PULSE
Read the latest UK snapshot AI skills are rising. Hiring is more selective
Those two things can be true at once. The UK market is cautious, but employers are still putting more weight on AI capability.
7×
more searches for AI roles
AI-related job searches on Indeed have increased sevenfold since ChatGPT launched. Interest is growing alongside competition.
Indeed Hiring Lab · UK · 2022–2026
31%
point to missing work experience
Among organisations facing AI recruitment difficulties, insufficient experience is a common obstacle. Evidence of doing the work matters.
UK DSIT AI Labour Market Survey 2025 · Jan 2026
A useful distinction: AI mentions in job ads do not equal AI job vacancies. These are published market indicators, not counts of jobs currently available on Stynt.
02 / SKILL RANKINGS
The skills behind AI opportunity
Explore measured demand by posting volume or annual growth, then filter for capabilities relevant to your track.
Source: Stanford AI Index 2026 / Lightcast · US AI job postings · Observation year: 2025. A published demand baseline, not a live vacancy count.
14 ranked skills
Selected published skills · US market
| RANK | SKILL | 2025 POSTINGS | ANNUAL GROWTH | SOURCE |
|---|---|---|---|---|
| 1 | Python | 258,674 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 2 | Computer science | 257,127 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 3 | Scalability | 197,744 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 4 | Automation | 190,758 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 5 | Workflow management | 186,325 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 6 | Data analysis | 170,396 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 7 | SQL | 151,191 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 8 | Project management | 149,865 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 9 | Data science | 142,120 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 10 | Amazon Web Services | 142,037 | — | Stanford / Lightcast ↗Printed p. 206, Figure 4.4.4 |
| 11 | Generative AI | 138,188 | +110.8% | Stanford / Lightcast ↗Printed p. 207, Figure 4.4.5 |
| 12 | Large language models | 38,526 | +102.3% | Stanford / Lightcast ↗Printed p. 207, Figure 4.4.5 |
| 13 | Prompt engineering | 22,227 | +261.3% | Stanford / Lightcast ↗Printed p. 207, Figure 4.4.5 |
| 14 | Retrieval Augmented Generation | 12,609 | +337.1% | Stanford / Lightcast ↗Printed p. 207, Figure 4.4.5 |
Rankings cover the selected published sample. Growth compares 2025 with 2024 where both values are reported. Track relevance is editorial; counts remain US-wide and overlap. Do not add them together.
03 / SKILL TRENDS
Which skills are showing up in job ads
These are published figures from US AI job postings. They offer a useful signal of technical direction, but shouldn’t be read as UK vacancy counts.
Skills employers mentioned in 2025
Generative AI
138,188+111% YoY
Large language models
38,526+102% YoY
Prompt engineering
22,227+261% YoY
Retrieval Augmented Generation
12,609+337% YoY
2025 US AI job postings; annual growth versus 2024. Stanford AI Index 2026 / Lightcast (Economy, Figure 4.4.5) ↗
WORTH REMEMBERING
Chasing tools isn’t a career plan
New techniques appear every month. Employers still need people who can make them work in real settings.
- Keep foundations strong: Python, data and software engineering.
- Show how you measure quality and deal with edge cases.
- Explain what you built, why it mattered and what you’d improve.
04 / AI ROLES
Find your place in AI
AI engineering and forward deployment lead our featured selection. Explore roles, skill requirements and research sources.
Showing 9 of 76 roles
AI Engineering & ResearchFeatured
AI Engineer
Occupation hiring research
PythonMachine learningModel evaluationAPIsDeploymentGenerative AI
All role skills (6)
Python · Machine learning · Model evaluation · APIs · Deployment · Generative AI
LinkedIn reports entry-level AI Engineer hiring-rate growth in Q2 2026; this is not an open-vacancy count.
AI Engineering & ResearchFeatured
Forward Deployed Engineer
Employer hiring signal
PythonAI integrationCustomer discoveryModel evaluationAPIsProduction deploymentDomain understanding
All role skills (7)
Python · AI integration · Customer discovery · Model evaluation · APIs · Production deployment · Domain understanding
Official OpenAI role listings checked 14 October 2026, London and Madrid. Listings can close; these examples do not establish market-wide growth.
AI Engineering & ResearchFeatured
Generative AI Engineer
Research context
Agentic AIData PrivacyDeep LearningEmbeddingsFastAPIFine-tuningGenerative AI
All role skills (23)
Agentic AI · Data Privacy · Deep Learning · Embeddings · FastAPI · Fine-tuning · Generative AI · Hugging Face · Human Oversight · Large Language Models · Linear Algebra · LoRA · Machine Learning · Model Evaluation · Model Serving · Multimodal AI · PEFT · Python · PyTorch · QLoRA · Statistics · Transformers · vLLM
Research context; these sources do not establish a role-specific vacancy count or growth rate.
AI Engineering & ResearchFeatured
LLM Engineer
Research context
AccelerateAnthropic APIDAPTData PrivacyDeepSpeedDockerDPO
All role skills (35)
Accelerate · Anthropic API · DAPT · Data Privacy · DeepSpeed · Docker · DPO · Embeddings · Evaluation · FAISS · FastAPI · Fine-tuning · Gemini API · Git · Guardrails · Human Oversight · Knowledge Distillation · LangChain · Llama · LlamaIndex · LoRA · OpenAI API · PEFT · Pinecone · Prompt Engineering · Python · QLoRA · Quantization · Retrieval Augmented Generation · RLHF · SFT · SLM Fine-tuning · Transformers · Vector Database · vLLM
Research context; these sources do not establish a role-specific vacancy count or growth rate.
AI Engineering & ResearchFeatured
AI Research Engineer
Research context
AlgorithmsCUDADeep LearningDeepSpeedDistributed TrainingExperiment TrackingFine-tuning
All role skills (26)
Algorithms · CUDA · Deep Learning · DeepSpeed · Distributed Training · Experiment Tracking · Fine-tuning · Foundation Models · Generative AI · Git · Hugging Face · JAX · Large Language Models · Linux · Mathematics · MLflow · Optimization · Python · PyTorch · Reinforcement Learning · Representation Learning · Research Papers · Statistics · TensorFlow · Transformers · Weights & Biases
Research context; these sources do not establish a role-specific vacancy count or growth rate.
AI Engineering & ResearchFeatured
Machine Learning Engineer
Research context
Data PreprocessingData PrivacyDockerFastAPIFeature EngineeringGenerative AIGit
All role skills (23)
Data Preprocessing · Data Privacy · Docker · FastAPI · Feature Engineering · Generative AI · Git · Human Oversight · Jupyter · LightGBM · Linear Algebra · Machine Learning · MLflow · Model Evaluation · NumPy · Pandas · Python · PyTorch · Scikit-learn · SQL · Statistics · TensorFlow · XGBoost
Research context; these sources do not establish a role-specific vacancy count or growth rate.
AI Engineering & ResearchFeatured
MLOps Engineer
Research context
AirflowAmazon Web ServicesArgoCDAzure MLCI/CDCUDAData Privacy
All role skills (31)
Airflow · Amazon Web Services · ArgoCD · Azure ML · CI/CD · CUDA · Data Privacy · Docker · FastAPI · Feast Feature Store · Generative AI · Git · GPU Infrastructure · Grafana · Helm · Jenkins · KServe · Kubeflow · Kubernetes · Linux · LLMOps · Machine Learning · MLflow · Model Evaluation · Model Monitoring · Model Serving · Monitoring · Prometheus · Python · Terraform · Vertex AI
Research context; these sources do not establish a role-specific vacancy count or growth rate.
AI Engineering & ResearchFeatured
AI Model Engineer
Research context
AlgorithmsCloud PlatformsCUDADeep LearningDistributed TrainingExperiment TrackingFine-tuning
All role skills (26)
Algorithms · Cloud Platforms · CUDA · Deep Learning · Distributed Training · Experiment Tracking · Fine-tuning · Git · GPU Computing · Hugging Face · JAX · Large Language Models · Linear Algebra · Machine Learning · MLflow · Model Architecture · Model Evaluation · Model Serving · Monitoring · Python · PyTorch · Reproducibility · Safety · Software Engineering · Statistics · TensorFlow
Research context; these sources do not establish a role-specific vacancy count or growth rate.
AI Engineering & Research
AI Research Scientist
Research context
AlgorithmsCalculusCloud PlatformsData PrivacyDeep LearningDockerExperiment Design
All role skills (23)
Algorithms · Calculus · Cloud Platforms · Data Privacy · Deep Learning · Docker · Experiment Design · Experiment Tracking · Foundation Models · Generative AI · JAX · Large Language Models · Linear Algebra · Machine Learning · Model Architecture · Model Evaluation · Optimization · Probability · Python · PyTorch · Representation Learning · Research Methods · Statistics
Research context; these sources do not establish a role-specific vacancy count or growth rate.
05 / TOOLS & PATHWAYS
Tools to learn. Capabilities to prove
A practical AI tool shortlist across Stynt’s three tracks, with official learning resources and portfolio challenges.
9 tool resources
AI tools & action resources
| TOOL / PLATFORM | CAPABILITY TO BUILD | TRACK | SOURCE / TAKE ACTION |
|---|---|---|---|
| Hugging Face | Use and evaluate open models | AI Engineering & Research | Learn & build ↗Official documentation / learning |
| Hugging Face | Integrate open-model inference into products | Applied AI & Integration | Learn & build ↗Official documentation / learning |
| LangChain / LangGraph | Connect retrieval, tools and agent workflows | Applied AI & Integration | Learn & build ↗Official documentation / learning |
| Make | Design connected business automations | AI Automation & Workflows | Learn & build ↗Official documentation / learning |
| Microsoft Copilot Studio | Build agents and business workflows | AI Automation & Workflows | Learn & build ↗Official documentation / learning |
| n8n | Connect apps, APIs and AI workflow steps | AI Automation & Workflows | Learn & build ↗Official documentation / learning |
| NVIDIA CUDA | Optimise GPU workloads | AI Engineering & Research | Learn & build ↗Official documentation / learning |
| OpenAI API | Build model-powered applications with evaluation | Applied AI & Integration | Learn & build ↗Official documentation / learning |
| PyTorch | Train and evaluate models | AI Engineering & Research | Learn & build ↗Official documentation / learning |
Illustrative Career Pathway
AI Engineering & Research
Build the intelligence.
- Python & ML foundations
- ML / AI Engineer
- Research or inference specialist
Portfolio Challenge
Publish a reproducible model benchmark with latency, cost and quality results.
Illustrative Career Pathway
Applied AI & Integration
Make AI useful in the real world.
- APIs, data & product fundamentals
- AI Integration Engineer
- AI Solutions Architect
Portfolio Challenge
Build a cited knowledge assistant with evaluation tests, permissions and monitoring.
Illustrative Career Pathway
AI Automation & Workflows
Turn processes into better outcomes.
- Process mapping & data literacy
- AI Automation Specialist
- AI Workflow Architect
Portfolio Challenge
Deliver a workflow with approvals, error recovery and a measured before/after result.
Pathways are illustrative. Tool proficiency alone does not guarantee a role. The skills report was published 24 February 2026.
06 / YOUR NEXT MOVE
Don’t just add another skill to your CV
Give someone a reason to believe you can use it. Three good next steps are often more valuable than ten more certificates.
Pick the work you want to do
Choose one or two roles from the matrix. Read real job descriptions. Look for common problems, not just familiar tools.
Build something you can explain
Ship a small project. Show your choices, what failed, how you tested it and what changed after feedback.
Make your evidence easy to find
Keep a clear portfolio, GitHub project or case study. A hiring team should quickly see what you did yourself.
From the frontier labs — developments worth understanding
Back to all Market InsightsOpenAI · 27 Oct 2026
Read announcement OpenAI expands enterprise AI with Oracle
OpenAI and Oracle are bringing business applications and AI agents into ChatGPT, advancing AI-driven enterprise workflows. Stynt angle: Growing demand for professionals who can integrate AI agents with enterprise systems.
Anthropic · 22 Oct 2026
Read announcement Claude expands into Google Cloud
Anthropic launches Claude Models on Google Cloud, offering enterprise access through Google Cloud IAM and Marketplace billing. Stynt angle: Multi-cloud AI engineering and integration skills become increasingly relevant to hiring.
xAI · 27 Oct 2026
Read announcement Grok Bot moves into sales workflows
xAI introduces Grok Bot as an AI-powered sales teammate, extending agentic automation into customer-facing business activities. Stynt angle: AI automation is reshaping role expectations across sales, operations and technical teams.
Your next opportunity starts with the work you’ve done
Join Stynt, build your talent profile and make your skills easier to understand. Job recommendations and applications are available after sign-up.
Research is attributed to its original publisher and reflects different regions, periods and samples. The role matrix is Stynt editorial guidance, not personalised scoring or a guarantee of employment.