diff --git a/src/backends/neon/workloads/NeonUnidirectionalSequenceLstmFloatWorkload.hpp b/src/backends/neon/workloads/NeonUnidirectionalSequenceLstmFloatWorkload.hpp
new file mode 100644
index 0000000..10c2ecb
--- /dev/null
+++ b/src/backends/neon/workloads/NeonUnidirectionalSequenceLstmFloatWorkload.hpp
@@ -0,0 +1,92 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/Descriptors.hpp>
+#include <armnn/LstmParams.hpp>
+#include <armnn/backends/Workload.hpp>
+#include <armnn/backends/WorkloadData.hpp>
+
+#include "arm_compute/graph/Tensor.h"
+#include "arm_compute/runtime/NEON/functions/NELSTMLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEPermute.h"
+#include "arm_compute/runtime/NEON/functions/NESplit.h"
+#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
+
+namespace armnn
+{
+
+class NeonUnidirectionalSequenceLstmFloatWorkload : public FloatWorkload<UnidirectionalSequenceLstmQueueDescriptor>
+{
+public:
+    NeonUnidirectionalSequenceLstmFloatWorkload(const UnidirectionalSequenceLstmQueueDescriptor& descriptor,
+                                                const WorkloadInfo& info);
+    virtual void Execute() const override;
+
+private:
+
+    //
+    // ACL layers required to fully form a Unidirectional Sequence LSTM layer.
+    //
+    mutable std::unique_ptr<arm_compute::NEPermute> m_Permute1;
+    mutable std::unique_ptr<arm_compute::IFunction> m_Splitter;
+    mutable std::vector<std::unique_ptr<arm_compute::NELSTMLayer>> m_Layers;
+    mutable std::unique_ptr<arm_compute::NEConcatenateLayer> m_Concat;
+    mutable std::unique_ptr<arm_compute::NEPermute> m_Permute2;
+
+    //
+    // ACL LSTM arm_compute::Tensors.
+    //
+    std::unique_ptr<arm_compute::Tensor> m_InputToInputWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_InputToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_InputToCellWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_InputToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_RecurrentToInputWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_RecurrentToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_RecurrentToCellWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_RecurrentToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_CellToInputWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_CellToForgetWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_CellToOutputWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_InputGateBiasTensor;
+    std::unique_ptr<arm_compute::Tensor> m_ForgetGateBiasTensor;
+    std::unique_ptr<arm_compute::Tensor> m_CellBiasTensor;
+    std::unique_ptr<arm_compute::Tensor> m_OutputGateBiasTensor;
+    std::unique_ptr<arm_compute::Tensor> m_ProjectionWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_ProjectionBiasTensor;
+
+    std::unique_ptr<arm_compute::Tensor> m_ScratchBuffer;
+
+    std::unique_ptr<arm_compute::Tensor> m_InputLayerNormWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_ForgetLayerNormWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_CellLayerNormWeightsTensor;
+    std::unique_ptr<arm_compute::Tensor> m_OutputLayerNormWeightsTensor;
+
+    //
+    // Additional ACL arm_compute::Tensors and std::vector<arm_compute::Tensor>.
+    // Required to perform splitting, concatenation and permutations.
+    //
+    arm_compute::Tensor m_PermuteFirstOut;
+    std::vector<arm_compute::Tensor> m_SplitterOutputsTensors;
+    std::vector<arm_compute::Tensor> m_ConcatInputsTensors;
+    std::vector<arm_compute::ITensor*> m_SplitterOutputs;
+    std::vector<const arm_compute::ITensor*> m_ConcatInputs;
+    arm_compute::Tensor concat_out;
+
+    void FreeUnusedTensors();
+};
+
+arm_compute::Status
+NeonUnidirectionalSequenceLstmFloatWorkloadValidate(const TensorInfo& input,
+                                                    const TensorInfo& outputStateIn,
+                                                    const TensorInfo& cellStateIn,
+                                                    const TensorInfo& output,
+                                                    const Optional<TensorInfo>& hiddenStateOutput,
+                                                    const Optional<TensorInfo>& cellStateOutput,
+                                                    const UnidirectionalSequenceLstmDescriptor& descriptor,
+                                                    const LstmInputParamsInfo& paramsInfo);
+
+} //namespace armnn