Dimensionalconsultingltd

Dimensionalconsultingltd is seeking an MLOps Engineer to own the entire ML deployment lifecycle, ensuring models are reliable and scalable. The role involves building CI/CD pipelines, designing model serving infrastructure, and collaborating with ML engineers. Ideal candidates will have over 3 years of experience in DevOps and proficiency in Python, Kubernetes, and cloud services like AWS or GCP. The position offers fully remote work, a competitive salary, private healthcare, and significant annual leave.

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating cutting edge papers into scalable, reliable solutions. This is a high impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across NLP, computer vision, and time series forecasting Architect scalable model serving infrastructure on cloud platforms (AWS/GCP/Azure) Conduct rigorous model evaluation, A/B testing, and performance monitoring Mentor junior ML engineers and conduct technical code reviews Collaborate with data engineers to optimise feature stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning, or related field Nice to Have Published research in top ML venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. Competitive salary with annual performance bonus. £2,000 annual conference and learning budget. Private healthcare and dental cover. Hybrid working - flexible office/remote split. 30 days annual leave plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish at top venues, contribute to open-source, and work on problems spanning healthcare diagnostics, financial risk modelling, and autonomous systems. You'll have the freedom to explore new ideas while delivering real value to clients.

Dimensionalconsultingltd is seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of production-grade machine learning systems for global clients. You will work at the intersection of research and engineering. Ideal candidates will have a strong background in Python, ML frameworks, and cloud services. The role offers a competitive salary, hybrid work arrangements, and ample annual leave.

Build and maintain scalable data pipelines and infrastructure. About the Role As a Data Engineer, you'll be the backbone of our data infrastructure, designing and maintaining the pipelines that power our analytics and ML systems. You'll work with modern cloud-native tools to ensure our clients' data flows are robust, secure, and optimised for performance. This role is ideal for engineers who love solving complex data challenges at scale and take pride in building systems that 'just work'. Design and build scalable ETL/ELT pipelines using Apache Spark and Airflow Architect data lake and data warehouse solutions on AWS, GCP, or Azure Implement data quality frameworks with automated testing and monitoring Optimise query performance across large-scale analytical workloads Collaborate with ML engineers to build and maintain feature stores Ensure data security, governance, and compliance (GDPR, SOC 2) Document data models, lineage, and pipeline architectures Requirements 3+ years of experience in data engineering or backend development Strong proficiency in Python and SQL Experience with Apache Spark, Airflow, or similar distributed processing frameworks Hands on experience with cloud data services (Redshift, BigQuery, Snowflake, or Databricks) Understanding of data modelling (dimensional, data vault) and warehousing patterns Familiarity with infrastructure as code (Terraform, CloudFormation) Experience with version control and CI/CD practices Nice to Have Experience with streaming data (Kafka, Kinesis, Flink) Knowledge of dbt for data transformation Familiarity with containerisation (Docker, Kubernetes) Experience building feature stores for ML workloads AWS/GCP/Azure data engineering certifications Competitive salary with annual bonus £1,500 annual learning and certification budget Private healthcare and dental cover On site role at our modern Manchester city centre office 28 days annual leave plus bank holidays Pension matching up to 6% Regular team events and quarterly hackathons About the Team Our Data Engineering team of 6 engineers builds the foundational infrastructure that powers everything we do. We're passionate about clean architecture, automated testing, and building systems that scale gracefully. We work closely with analytics and ML teams to ensure data flows seamlessly from source to insight.

Develop state-of-the-art natural language processing solutions. About the Role As an NLP Engineer, you'll develop cutting edge natural language processing solutions for enterprise clients across industries. From fine tuning large language models to building information extraction pipelines and conversational AI systems, you'll work on some of the most exciting problems in applied NLP. This role combines deep technical expertise with practical engineering to deliver production ready language AI. Develop and fine tune LLMs for domain specific applications (legal, medical, financial) Build information extraction, NER, and relation extraction pipelines Design and implement conversational AI and chatbot systems Develop text classification, sentiment analysis, and topic modelling solutions Create evaluation frameworks for NLP model quality and robustness Optimise models for inference speed and cost (quantisation, distillation, pruning) Stay current with NLP research and evaluate new techniques for client applications Requirements 3+ years of experience in NLP or computational linguistics Strong proficiency in Python with Hugging Face Transformers and PyTorch Experience fine tuning large language models (BERT, GPT, T5, LLaMA families) Understanding of NLP fundamentals: tokenisation, embeddings, attention mechanisms Experience with text preprocessing, feature engineering, and evaluation metrics Familiarity with RAG architectures and vector databases (Pinecone, Weaviate, Chroma) MSc or PhD in NLP, Computational Linguistics, or related field Nice to Have Experience with multi lingual NLP and cross lingual transfer Familiarity with speech to text and multi modal language models Experience with prompt engineering and LLM orchestration (LangChain, LlamaIndex) Published papers at ACL, EMNLP, NAACL, or EACL Experience with annotation tools and active learning for NLP Competitive salary with annual performance bonus £2,000 annual conference and learning budget Private healthcare and dental cover Hybrid working - flexible office/remote split 30 days annual leave plus bank holidays Access to GPU compute for personal research projects Regular NLP reading group and research seminars About the Team Our NLP team is a specialised group within AI Research, focused on pushing the boundaries of language understanding. We work on everything from enterprise search and document intelligence to conversational AI and content generation. Our team members have published at ACL and EMNLP, and we maintain close ties with the academic NLP community.

Dimensionalconsultingltd in Manchester is looking for a Data Engineer to build and maintain scalable data pipelines and infrastructure that power analytics and ML systems. The ideal candidate will have 3+ years of experience in data engineering, proficiency in Python and SQL, and familiarity with cloud services. This on-site role offers competitive salary, £1,500 for learning and certifications, private healthcare, 28 days annual leave, and a pension match of up to 6%.

Dimensionalconsultingltd in Manchester is seeking an experienced NLP Engineer to develop cutting-edge natural language processing solutions for enterprise clients. You will fine-tune language models and build information extraction pipelines. The ideal candidate has over 3 years of experience in NLP, strong Python proficiency, and relevant education. The position offers a hybrid working model along with competitive benefits including a performance bonus and extensive annual leave.