6 of 6 Remote/Hybrid Machine Learning Jobs in Sheffield

partners to develop ethically licensed, production-grade AI voice models with uncompromising speaker likeness and perceptual quality. We are now looking for a Senior Machine Learning Engineer (Speech AI) to help us push high-fidelity speech synthesis and voice conversion systems to production scale. As an early-stage … Machine Learning and Deep Learning (Transformers, CNNs, RNNs) Strong grounding in mathematics, audio signal processing, speech processing, or NLP Experience with ML frameworks (PyTorch or TensorFlow) Experience training and deploying models on cloud services (AWS, GCP, etc.) Experience reimplementing architectures from scientific papers Comfortable with Git & GitHub ...

Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support. Core Responsibilities Model Development: Build … closely with Product Managers and technical teams to translate business needs into scalable AI solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document ...

features; youll be setting direction. The tech youll work with Core:Azure, Databricks, Python, SQL, dbt, MQTT Storage & Serving:Delta Lake, Postgres, TimescaleDB Modelling & ML:MLflow Visualisation:Grafana What makes you a great fit Youre someone who can zoom out to architecture and zoom in to code, comfortably. Proven experience … this role Real autonomy:Youre trusted to make architectural calls, thats why youre being hired Visible impact:Your work directly unlocks better analytics and machine learning outcomes Modern problems:Youll work on advanced data patterns and architectures, not cosmetic refactors Still technical:This is a leadership role without ...

/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following … skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling. Strong Python skills and experience developing APIs and production AI systems. Hands on experience with ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site – Sheffield (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information ...